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Search, Evaluate, and Read Evidence","\u002Fen\u002Facademic-writing\u002F02-reading-and-literature-matrix","en\u002Facademic-writing\u002F02-reading-and-literature-matrix",{"title":27,"path":28,"stem":29},"3. From Sources to Synthesis and Argument","\u002Fen\u002Facademic-writing\u002F03-arguments-outlines-and-paragraphs","en\u002Facademic-writing\u002F03-arguments-outlines-and-paragraphs",{"title":31,"path":32,"stem":33},"4. Literature Review and a Defensible Gap","\u002Fen\u002Facademic-writing\u002F04-writing-the-literature-review","en\u002Facademic-writing\u002F04-writing-the-literature-review",{"title":35,"path":36,"stem":37},"5. Research Design, Evidence, and Core Sections","\u002Fen\u002Facademic-writing\u002F05-core-sections-and-evidence","en\u002Facademic-writing\u002F05-core-sections-and-evidence",{"title":39,"path":40,"stem":41},"6. Citation, Paraphrasing, Integrity, and AI","\u002Fen\u002Facademic-writing\u002F06-citation-paraphrasing-and-integrity","en\u002Facademic-writing\u002F06-citation-paraphrasing-and-integrity",{"title":43,"path":44,"stem":45},"7. Revision, Review, and Submission","\u002Fen\u002Facademic-writing\u002F07-revision-style-and-submission","en\u002Facademic-writing\u002F07-revision-style-and-submission",{"title":47,"path":48,"stem":49},"8. Research Workbook","\u002Fen\u002Facademic-writing\u002F08-literature-review-checklist-and-template","en\u002Facademic-writing\u002F08-literature-review-checklist-and-template",{"title":51,"path":52,"stem":53},"9. Research Workflow and Tools","\u002Fen\u002Facademic-writing\u002F09-tools-for-academic-writing-and-literature-management","en\u002Facademic-writing\u002F09-tools-for-academic-writing-and-literature-management",{"title":55,"path":56,"stem":57},"10. Worked Project — From Question to Defensible Conclusion","\u002Fen\u002Facademic-writing\u002F10-worked-example-from-block-structure-to-question-chain","en\u002Facademic-writing\u002F10-worked-example-from-block-structure-to-question-chain",{"title":59,"path":60,"stem":61,"children":62,"page":249},"Accounting","\u002Fen\u002Faccounting","en\u002Faccounting",[63,69,87,93,193],{"title":64,"path":65,"stem":66,"children":67},"Accounting — From Evidence to Decisions","\u002Fen\u002Faccounting\u002F00-index","en\u002Faccounting\u002F00-index",[68],{"title":64,"path":65,"stem":66},{"title":70,"path":71,"stem":72,"children":73},"Accounting Appendix","\u002Fen\u002Faccounting\u002Fappendix","en\u002Faccounting\u002Fappendix\u002Findex",[74,75,79,83],{"title":70,"path":71,"stem":72},{"title":76,"path":77,"stem":78},"Worked Examples and Error Diagnosis","\u002Fen\u002Faccounting\u002Fappendix\u002F24-examples-pitfalls","en\u002Faccounting\u002Fappendix\u002F24-examples-pitfalls",{"title":80,"path":81,"stem":82},"Accounting Glossary","\u002Fen\u002Faccounting\u002Fappendix\u002F26-glossary","en\u002Faccounting\u002Fappendix\u002F26-glossary",{"title":84,"path":85,"stem":86},"Reading and Evidence Map","\u002Fen\u002Faccounting\u002Fappendix\u002F27-reading-map","en\u002Faccounting\u002Fappendix\u002F27-reading-map",{"title":88,"path":89,"stem":90,"children":91},"Northstar Record-to-Decision Capstone","\u002Fen\u002Faccounting\u002Fcapstone","en\u002Faccounting\u002Fcapstone\u002Findex",[92],{"title":88,"path":89,"stem":90},{"title":94,"path":95,"stem":96,"children":97},"Financial Accounting","\u002Fen\u002Faccounting\u002Ffinancial-accounting","en\u002Faccounting\u002Ffinancial-accounting\u002Findex",[98,99,117,131,165,179],{"title":94,"path":95,"stem":96},{"title":100,"path":101,"stem":102,"children":103},"1. Foundations","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002Findex",[104,105,109,113],{"title":100,"path":101,"stem":102},{"title":106,"path":107,"stem":108},"Objectives and Qualitative Characteristics","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F01-objectives-qualitative-characteristics","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F01-objectives-qualitative-characteristics",{"title":110,"path":111,"stem":112},"Equation and Elements","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F02-equation-elements","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F02-equation-elements",{"title":114,"path":115,"stem":116},"Accrual Basis, Estimates and Periods","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F03-accounting-bases-principles","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F03-accounting-bases-principles",{"title":118,"path":119,"stem":120,"children":121},"2. Recording Transactions","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions","en\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002Findex",[122,123,127],{"title":118,"path":119,"stem":120},{"title":124,"path":125,"stem":126},"Double-Entry and Debit\u002FCredit","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F04-double-entry-dr-cr","en\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F04-double-entry-dr-cr",{"title":128,"path":129,"stem":130},"Accounting Cycle","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F05-accounting-cycle","en\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F05-accounting-cycle",{"title":132,"path":133,"stem":134,"children":135},"3. Measurement and Adjustments","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002Findex",[136,137,141,145,149,153,157,161],{"title":132,"path":133,"stem":134},{"title":138,"path":139,"stem":140},"Revenue Recognition","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F07-revenue-recognition","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F07-revenue-recognition",{"title":142,"path":143,"stem":144},"Inventory","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F08-inventory","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F08-inventory",{"title":146,"path":147,"stem":148},"Receivables and Expected Credit Losses","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F09-receivables","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F09-receivables",{"title":150,"path":151,"stem":152},"Property, Plant and Equipment","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F10-ppe","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F10-ppe",{"title":154,"path":155,"stem":156},"Intangible Assets","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F11-intangibles","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F11-intangibles",{"title":158,"path":159,"stem":160},"Leases","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F12-leases","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F12-leases",{"title":162,"path":163,"stem":164},"Current and Deferred Income Tax","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F13-income-tax","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F13-income-tax",{"title":166,"path":167,"stem":168,"children":169},"4. Reporting and Cash","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash","en\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002Findex",[170,171,175],{"title":166,"path":167,"stem":168},{"title":172,"path":173,"stem":174},"Linked Financial Statements","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F06-financial-statements","en\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F06-financial-statements",{"title":176,"path":177,"stem":178},"Cash, Reconciliation and Internal Control","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F14-cash-control","en\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F14-cash-control",{"title":180,"path":181,"stem":182,"children":183},"5. Analysis and Comparison","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison","en\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002Findex",[184,185,189],{"title":180,"path":181,"stem":182},{"title":186,"path":187,"stem":188},"Ratio Analysis","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F15-ratio-analysis","en\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F15-ratio-analysis",{"title":190,"path":191,"stem":192},"IFRS versus US GAAP","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F25-ifrs-gaap","en\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F25-ifrs-gaap",{"title":194,"path":195,"stem":196,"children":197},"Management Accounting","\u002Fen\u002Faccounting\u002Fmanagement-accounting","en\u002Faccounting\u002Fmanagement-accounting\u002Findex",[198,199,217,235],{"title":194,"path":195,"stem":196},{"title":200,"path":201,"stem":202,"children":203},"1. Cost Foundations","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002Findex",[204,205,209,213],{"title":200,"path":201,"stem":202},{"title":206,"path":207,"stem":208},"Cost Concepts and Behaviour","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F16-cost-concepts","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F16-cost-concepts",{"title":210,"path":211,"stem":212},"Costing Systems","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F17-costing-systems","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F17-costing-systems",{"title":214,"path":215,"stem":216},"Variable and Absorption Costing","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F19-variable-vs-absorption","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F19-variable-vs-absorption",{"title":218,"path":219,"stem":220,"children":221},"2. Planning and Control","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002Findex",[222,223,227,231],{"title":218,"path":219,"stem":220},{"title":224,"path":225,"stem":226},"Cost–Volume–Profit Analysis","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F18-cvp-analysis","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F18-cvp-analysis",{"title":228,"path":229,"stem":230},"Budgeting and Variance Analysis","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F20-budgeting-variances","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F20-budgeting-variances",{"title":232,"path":233,"stem":234},"Performance Measurement","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F21-performance-measurement","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F21-performance-measurement",{"title":236,"path":237,"stem":238,"children":239},"3. Decisions and Investment","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment","en\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002Findex",[240,241,245],{"title":236,"path":237,"stem":238},{"title":242,"path":243,"stem":244},"Short-Term Decisions","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F22-short-term-decisions","en\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F22-short-term-decisions",{"title":246,"path":247,"stem":248},"Capital Budgeting","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F23-capital-budgeting","en\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F23-capital-budgeting",false,{"title":251,"path":252,"stem":253,"children":254,"page":249},"Business Analytics","\u002Fen\u002Fbusiness-analytics","en\u002Fbusiness-analytics",[255,261,279,305,335,365,383,400],{"title":256,"path":257,"stem":258,"children":259},"Business Analytics — From Data to Defensible Action","\u002Fen\u002Fbusiness-analytics\u002F00-index","en\u002Fbusiness-analytics\u002F00-index",[260],{"title":256,"path":257,"stem":258},{"title":262,"path":263,"stem":264,"children":265},"0. Decision and Data Foundations","\u002Fen\u002Fbusiness-analytics\u002F00-intro","en\u002Fbusiness-analytics\u002F00-intro\u002Findex",[266,267,271,275],{"title":262,"path":263,"stem":264},{"title":268,"path":269,"stem":270},"Decision Framing","\u002Fen\u002Fbusiness-analytics\u002F00-intro\u002F01-decision-framing","en\u002Fbusiness-analytics\u002F00-intro\u002F01-decision-framing",{"title":272,"path":273,"stem":274},"Data Contracts","\u002Fen\u002Fbusiness-analytics\u002F00-intro\u002F02-data-contracts","en\u002Fbusiness-analytics\u002F00-intro\u002F02-data-contracts",{"title":276,"path":277,"stem":278},"Reproducible Analytics Workflow","\u002Fen\u002Fbusiness-analytics\u002F00-intro\u002F03-reproducible-workflow","en\u002Fbusiness-analytics\u002F00-intro\u002F03-reproducible-workflow",{"title":280,"path":281,"stem":282,"children":283},"1. Descriptive Analytics","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive","en\u002Fbusiness-analytics\u002F01-descriptive\u002Findex",[284,285,289,293,297,301],{"title":280,"path":281,"stem":282},{"title":286,"path":287,"stem":288},"Distributions and Exploratory Data Analysis","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F04-distributions-eda","en\u002Fbusiness-analytics\u002F01-descriptive\u002F04-distributions-eda",{"title":290,"path":291,"stem":292},"KPIs and Denominators","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F05-kpis-denominators","en\u002Fbusiness-analytics\u002F01-descriptive\u002F05-kpis-denominators",{"title":294,"path":295,"stem":296},"Segments, Cohorts and Funnels","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F06-segmentation-cohorts-funnels","en\u002Fbusiness-analytics\u002F01-descriptive\u002F06-segmentation-cohorts-funnels",{"title":298,"path":299,"stem":300},"Visual Evidence and Data Stories","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F07-visualisation-story","en\u002Fbusiness-analytics\u002F01-descriptive\u002F07-visualisation-story",{"title":302,"path":303,"stem":304},"Experiments and Causal Boundaries","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F08-experiments-causal-boundary","en\u002Fbusiness-analytics\u002F01-descriptive\u002F08-experiments-causal-boundary",{"title":306,"path":307,"stem":308,"children":309},"2. Predictive Analytics","\u002Fen\u002Fbusiness-analytics\u002F02-predictive","en\u002Fbusiness-analytics\u002F02-predictive\u002Findex",[310,311,315,319,323,327,331],{"title":306,"path":307,"stem":308},{"title":312,"path":313,"stem":314},"Validation, Baselines and Leakage","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F09-validation-leakage","en\u002Fbusiness-analytics\u002F02-predictive\u002F09-validation-leakage",{"title":316,"path":317,"stem":318},"Regression and Forecasting","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F10-regression-forecasting","en\u002Fbusiness-analytics\u002F02-predictive\u002F10-regression-forecasting",{"title":320,"path":321,"stem":322},"Classification and Calibration","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F11-classification-calibration","en\u002Fbusiness-analytics\u002F02-predictive\u002F11-classification-calibration",{"title":324,"path":325,"stem":326},"Trees and Ensembles","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F12-trees-ensembles","en\u002Fbusiness-analytics\u002F02-predictive\u002F12-trees-ensembles",{"title":328,"path":329,"stem":330},"Decision Metrics and Thresholds","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F13-decision-metrics-thresholds","en\u002Fbusiness-analytics\u002F02-predictive\u002F13-decision-metrics-thresholds",{"title":332,"path":333,"stem":334},"Explainability, Monitoring and Drift","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F14-explainability-drift","en\u002Fbusiness-analytics\u002F02-predictive\u002F14-explainability-drift",{"title":336,"path":337,"stem":338,"children":339},"3. Prescriptive Analytics","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive","en\u002Fbusiness-analytics\u002F03-prescriptive\u002Findex",[340,341,345,349,353,357,361],{"title":336,"path":337,"stem":338},{"title":342,"path":343,"stem":344},"Decision-Making under Uncertainty","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F15-decision-uncertainty","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F15-decision-uncertainty",{"title":346,"path":347,"stem":348},"Linear Optimisation","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F16-linear-optimization","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F16-linear-optimization",{"title":350,"path":351,"stem":352},"Inventory and Allocation","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F17-inventory-allocation","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F17-inventory-allocation",{"title":354,"path":355,"stem":356},"Queueing and Simulation","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F18-queueing-simulation","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F18-queueing-simulation",{"title":358,"path":359,"stem":360},"Pricing and Revenue Management","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F19-pricing-experimentation","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F19-pricing-experimentation",{"title":362,"path":363,"stem":364},"Causal Targeting and Policy Learning","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F20-causal-targeting","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F20-causal-targeting",{"title":366,"path":367,"stem":368,"children":369},"4. Deployment and Governance","\u002Fen\u002Fbusiness-analytics\u002F04-deployment","en\u002Fbusiness-analytics\u002F04-deployment\u002Findex",[370,371,375,379],{"title":366,"path":367,"stem":368},{"title":372,"path":373,"stem":374},"Data Products and Monitoring","\u002Fen\u002Fbusiness-analytics\u002F04-deployment\u002F21-data-products-monitoring","en\u002Fbusiness-analytics\u002F04-deployment\u002F21-data-products-monitoring",{"title":376,"path":377,"stem":378},"Governance, Fairness and Privacy","\u002Fen\u002Fbusiness-analytics\u002F04-deployment\u002F22-governance-fairness-privacy","en\u002Fbusiness-analytics\u002F04-deployment\u002F22-governance-fairness-privacy",{"title":380,"path":381,"stem":382},"Adoption and Business Value","\u002Fen\u002Fbusiness-analytics\u002F04-deployment\u002F23-adoption-value","en\u002Fbusiness-analytics\u002F04-deployment\u002F23-adoption-value",{"title":384,"path":385,"stem":386,"children":387},"Appendix and Revision Tools","\u002Fen\u002Fbusiness-analytics\u002Fappendix","en\u002Fbusiness-analytics\u002Fappendix\u002Findex",[388,389,393,397],{"title":384,"path":385,"stem":386},{"title":390,"path":391,"stem":392},"Formula and Decision Map","\u002Fen\u002Fbusiness-analytics\u002Fappendix\u002F24-formula-map","en\u002Fbusiness-analytics\u002Fappendix\u002F24-formula-map",{"title":394,"path":395,"stem":396},"Worked Examples and Pitfalls","\u002Fen\u002Fbusiness-analytics\u002Fappendix\u002F25-worked-examples-pitfalls","en\u002Fbusiness-analytics\u002Fappendix\u002F25-worked-examples-pitfalls",{"title":84,"path":398,"stem":399},"\u002Fen\u002Fbusiness-analytics\u002Fappendix\u002F26-reading-map","en\u002Fbusiness-analytics\u002Fappendix\u002F26-reading-map",{"title":401,"path":402,"stem":403,"children":404},"Capstone — The Evening Delivery Promise","\u002Fen\u002Fbusiness-analytics\u002Fcapstone","en\u002Fbusiness-analytics\u002Fcapstone\u002Findex",[405],{"title":401,"path":402,"stem":403},{"title":407,"path":408,"stem":409,"children":410,"page":249},"Financial Economic Time Series","\u002Fen\u002Ffinancial-economic-time-series","en\u002Ffinancial-economic-time-series",[411,417,423,429,435,441,447,453,459,465,471],{"title":412,"path":413,"stem":414,"children":415},"Financial and Economic Time Series — Course Guide","\u002Fen\u002Ffinancial-economic-time-series\u002F00-intro","en\u002Ffinancial-economic-time-series\u002F00-intro\u002Findex",[416],{"title":412,"path":413,"stem":414},{"title":418,"path":419,"stem":420,"children":421},"Three Versions of Time Series","\u002Fen\u002Ffinancial-economic-time-series\u002F01-bridge","en\u002Ffinancial-economic-time-series\u002F01-bridge\u002Findex",[422],{"title":418,"path":419,"stem":420},{"title":424,"path":425,"stem":426,"children":427},"Data, Clocks, and Transformations","\u002Fen\u002Ffinancial-economic-time-series\u002F02-data-transformations","en\u002Ffinancial-economic-time-series\u002F02-data-transformations\u002Findex",[428],{"title":424,"path":425,"stem":426},{"title":430,"path":431,"stem":432,"children":433},"Predictive Regressions and Persistent Predictors","\u002Fen\u002Ffinancial-economic-time-series\u002F03-predictive-regressions","en\u002Ffinancial-economic-time-series\u002F03-predictive-regressions\u002Findex",[434],{"title":430,"path":431,"stem":432},{"title":436,"path":437,"stem":438,"children":439},"Volatility, Tails, and Financial Risk","\u002Fen\u002Ffinancial-economic-time-series\u002F04-volatility-risk","en\u002Ffinancial-economic-time-series\u002F04-volatility-risk\u002Findex",[440],{"title":436,"path":437,"stem":438},{"title":442,"path":443,"stem":444,"children":445},"Unit Roots, Cointegration, and Error Correction","\u002Fen\u002Ffinancial-economic-time-series\u002F05-unit-roots-cointegration","en\u002Ffinancial-economic-time-series\u002F05-unit-roots-cointegration\u002Findex",[446],{"title":442,"path":443,"stem":444},{"title":448,"path":449,"stem":450,"children":451},"VAR, Structural Identification, and Local Projections","\u002Fen\u002Ffinancial-economic-time-series\u002F06-var-identification","en\u002Ffinancial-economic-time-series\u002F06-var-identification\u002Findex",[452],{"title":448,"path":449,"stem":450},{"title":454,"path":455,"stem":456,"children":457},"State Space, Mixed Frequency, and Nowcasting","\u002Fen\u002Ffinancial-economic-time-series\u002F07-state-space-nowcasting","en\u002Ffinancial-economic-time-series\u002F07-state-space-nowcasting\u002Findex",[458],{"title":454,"path":455,"stem":456},{"title":460,"path":461,"stem":462,"children":463},"Forecast Evaluation for Decisions","\u002Fen\u002Ffinancial-economic-time-series\u002F08-forecast-evaluation","en\u002Ffinancial-economic-time-series\u002F08-forecast-evaluation\u002Findex",[464],{"title":460,"path":461,"stem":462},{"title":466,"path":467,"stem":468,"children":469},"Integrated R Laboratory","\u002Fen\u002Ffinancial-economic-time-series\u002F09-r-laboratory","en\u002Ffinancial-economic-time-series\u002F09-r-laboratory\u002Findex",[470],{"title":466,"path":467,"stem":468},{"title":472,"path":473,"stem":474,"children":475},"Capstones, Data, and Reading Ladder","\u002Fen\u002Ffinancial-economic-time-series\u002F10-capstone-readings","en\u002Ffinancial-economic-time-series\u002F10-capstone-readings\u002Findex",[476],{"title":472,"path":473,"stem":474},{"title":478,"path":479,"stem":480,"children":481,"page":249},"Intro To Economics","\u002Fen\u002Fintro-to-economics","en\u002Fintro-to-economics",[482,486,490,494,498,502,506,510,514,518,522,526,530],{"title":483,"path":484,"stem":485},"Introduction to Economics — Decisions, Markets, and the Macroeconomy","\u002Fen\u002Fintro-to-economics\u002F00-intro","en\u002Fintro-to-economics\u002F00-intro",{"title":487,"path":488,"stem":489},"Chapter 1 — Choice, Opportunity Cost, and Trade","\u002Fen\u002Fintro-to-economics\u002F01-foundations","en\u002Fintro-to-economics\u002F01-foundations",{"title":491,"path":492,"stem":493},"Chapter 2 — Demand, Supply, Equilibrium, and Welfare","\u002Fen\u002Fintro-to-economics\u002F02-demand-and-supply","en\u002Fintro-to-economics\u002F02-demand-and-supply",{"title":495,"path":496,"stem":497},"Chapter 3 — Elasticity, Revenue, and Tax Incidence","\u002Fen\u002Fintro-to-economics\u002F03-elasticity","en\u002Fintro-to-economics\u002F03-elasticity",{"title":499,"path":500,"stem":501},"Chapter 4 — Firms, Market Power, and Market Failure","\u002Fen\u002Fintro-to-economics\u002F04-market-structures","en\u002Fintro-to-economics\u002F04-market-structures",{"title":503,"path":504,"stem":505},"Chapter 5 — GDP, Income, Wealth, and Welfare","\u002Fen\u002Fintro-to-economics\u002F05-gdp-and-wealth","en\u002Fintro-to-economics\u002F05-gdp-and-wealth",{"title":507,"path":508,"stem":509},"Chapter 6 — Inflation, Purchasing Power, and Labour Markets","\u002Fen\u002Fintro-to-economics\u002F06-inflation-and-unemployment","en\u002Fintro-to-economics\u002F06-inflation-and-unemployment",{"title":511,"path":512,"stem":513},"Chapter 7 — Productivity, Technology, and Economic Growth","\u002Fen\u002Fintro-to-economics\u002F07-economic-growth","en\u002Fintro-to-economics\u002F07-economic-growth",{"title":515,"path":516,"stem":517},"Chapter 8 — Money, Credit, and Banking","\u002Fen\u002Fintro-to-economics\u002F08-money-and-banking","en\u002Fintro-to-economics\u002F08-money-and-banking",{"title":519,"path":520,"stem":521},"Chapter 9 — Business Cycles, AD–AS, and Monetary Policy","\u002Fen\u002Fintro-to-economics\u002F09-monetary-policy-and-ad-as","en\u002Fintro-to-economics\u002F09-monetary-policy-and-ad-as",{"title":523,"path":524,"stem":525},"Chapter 10 — Fiscal Policy, Distribution, and Public Debt","\u002Fen\u002Fintro-to-economics\u002F10-fiscal-policy","en\u002Fintro-to-economics\u002F10-fiscal-policy",{"title":527,"path":528,"stem":529},"Chapter 11 — Trade, Capital Flows, and Exchange Rates","\u002Fen\u002Fintro-to-economics\u002F11-open-economy-and-exchange-rates","en\u002Fintro-to-economics\u002F11-open-economy-and-exchange-rates",{"title":531,"path":532,"stem":533},"Chapter 12 — Integrated Economic Analysis Studio","\u002Fen\u002Fintro-to-economics\u002F12-review-and-case-studies","en\u002Fintro-to-economics\u002F12-review-and-case-studies",{"title":535,"path":536,"stem":537,"children":538,"page":249},"Microeconometrics","\u002Fen\u002Fmicroeconometrics","en\u002Fmicroeconometrics",[539,557,563,581,603,629,651,673,691,709],{"title":540,"path":541,"stem":542,"children":543},"0. Causal Questions and Designs","\u002Fen\u002Fmicroeconometrics\u002F00-foundations","en\u002Fmicroeconometrics\u002F00-foundations\u002Findex",[544,545,549,553],{"title":540,"path":541,"stem":542},{"title":546,"path":547,"stem":548},"Causal Questions and Estimands","\u002Fen\u002Fmicroeconometrics\u002F00-foundations\u002F01-causal-question-estimands","en\u002Fmicroeconometrics\u002F00-foundations\u002F01-causal-question-estimands",{"title":550,"path":551,"stem":552},"Potential Outcomes and Experiments","\u002Fen\u002Fmicroeconometrics\u002F00-foundations\u002F02-potential-outcomes-experiments","en\u002Fmicroeconometrics\u002F00-foundations\u002F02-potential-outcomes-experiments",{"title":554,"path":555,"stem":556},"Causal Diagrams and Controls","\u002Fen\u002Fmicroeconometrics\u002F00-foundations\u002F03-dags-controls","en\u002Fmicroeconometrics\u002F00-foundations\u002F03-dags-controls",{"title":558,"path":559,"stem":560,"children":561},"Microeconometrics — Designing Credible Counterfactuals","\u002Fen\u002Fmicroeconometrics\u002F00-index","en\u002Fmicroeconometrics\u002F00-index",[562],{"title":558,"path":559,"stem":560},{"title":564,"path":565,"stem":566,"children":567},"1. Regression and Inference","\u002Fen\u002Fmicroeconometrics\u002F01-regression","en\u002Fmicroeconometrics\u002F01-regression\u002Findex",[568,569,573,577],{"title":564,"path":565,"stem":566},{"title":570,"path":571,"stem":572},"OLS as a Projection","\u002Fen\u002Fmicroeconometrics\u002F01-regression\u002F04-ols-projection","en\u002Fmicroeconometrics\u002F01-regression\u002F04-ols-projection",{"title":574,"path":575,"stem":576},"FWL, Selection and Controls","\u002Fen\u002Fmicroeconometrics\u002F01-regression\u002F05-fwl-selection-controls","en\u002Fmicroeconometrics\u002F01-regression\u002F05-fwl-selection-controls",{"title":578,"path":579,"stem":580},"Inference and Clustering","\u002Fen\u002Fmicroeconometrics\u002F01-regression\u002F06-inference-clustering","en\u002Fmicroeconometrics\u002F01-regression\u002F06-inference-clustering",{"title":582,"path":583,"stem":584,"children":585},"2. Instruments and Panel Data","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel","en\u002Fmicroeconometrics\u002F02-iv-panel\u002Findex",[586,587,591,595,599],{"title":582,"path":583,"stem":584},{"title":588,"path":589,"stem":590},"Instrumental Variables","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F07-iv-identification","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F07-iv-identification",{"title":592,"path":593,"stem":594},"Weak Instruments and LATE","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F08-weak-iv-late","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F08-weak-iv-late",{"title":596,"path":597,"stem":598},"Panel Fixed Effects","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F09-panel-fixed-effects","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F09-panel-fixed-effects",{"title":600,"path":601,"stem":602},"Dynamic Panels and Limits","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F10-dynamic-panel","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F10-dynamic-panel",{"title":604,"path":605,"stem":606,"children":607},"3. Policy Evaluation Designs","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs","en\u002Fmicroeconometrics\u002F03-policy-designs\u002Findex",[608,609,613,617,621,625],{"title":604,"path":605,"stem":606},{"title":610,"path":611,"stem":612},"Difference-in-Differences","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F11-did-core","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F11-did-core",{"title":614,"path":615,"stem":616},"Staggered DID and Event Studies","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F12-staggered-event-studies","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F12-staggered-event-studies",{"title":618,"path":619,"stem":620},"Regression Discontinuity","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F13-rdd","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F13-rdd",{"title":622,"path":623,"stem":624},"Matching, Weighting and Overlap","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F14-matching-weighting","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F14-matching-weighting",{"title":626,"path":627,"stem":628},"Synthetic Control","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F15-synthetic-control","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F15-synthetic-control",{"title":630,"path":631,"stem":632,"children":633},"Module 4 — Choice and Limited Outcomes","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002Findex",[634,635,639,643,647],{"title":630,"path":631,"stem":632},{"title":636,"path":637,"stem":638},"Binary Choice","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F16-binary-choice","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F16-binary-choice",{"title":640,"path":641,"stem":642},"Multinomial and Ordered Choice","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F17-multinomial-choice","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F17-multinomial-choice",{"title":644,"path":645,"stem":646},"Count Outcomes","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F18-count-outcomes","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F18-count-outcomes",{"title":648,"path":649,"stem":650},"Censoring, Truncation and Selection","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F19-censoring-selection","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F19-censoring-selection",{"title":652,"path":653,"stem":654,"children":655},"Module 5 — Modern Causal Analysis","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal","en\u002Fmicroeconometrics\u002F05-modern-causal\u002Findex",[656,657,661,665,669],{"title":652,"path":653,"stem":654},{"title":658,"path":659,"stem":660},"Double Machine Learning","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F20-dml","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F20-dml",{"title":662,"path":663,"stem":664},"Heterogeneity and Policy Learning","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F21-heterogeneity-policy","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F21-heterogeneity-policy",{"title":666,"path":667,"stem":668},"Sensitivity and Partial Identification","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F22-sensitivity-partial-id","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F22-sensitivity-partial-id",{"title":670,"path":671,"stem":672},"External Validity and Transport","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F23-external-validity","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F23-external-validity",{"title":674,"path":675,"stem":676,"children":677},"Module 6 — From Data to Auditable Evidence","\u002Fen\u002Fmicroeconometrics\u002F06-workflow","en\u002Fmicroeconometrics\u002F06-workflow\u002Findex",[678,679,683,687],{"title":674,"path":675,"stem":676},{"title":680,"path":681,"stem":682},"Data Provenance","\u002Fen\u002Fmicroeconometrics\u002F06-workflow\u002F24-data-provenance","en\u002Fmicroeconometrics\u002F06-workflow\u002F24-data-provenance",{"title":684,"path":685,"stem":686},"Reproducibility and Reporting","\u002Fen\u002Fmicroeconometrics\u002F06-workflow\u002F25-reproducibility-reporting","en\u002Fmicroeconometrics\u002F06-workflow\u002F25-reproducibility-reporting",{"title":688,"path":689,"stem":690},"Paper and Evidence Audit","\u002Fen\u002Fmicroeconometrics\u002F06-workflow\u002F26-paper-audit","en\u002Fmicroeconometrics\u002F06-workflow\u002F26-paper-audit",{"title":692,"path":693,"stem":694,"children":695},"Appendix — Revision and Evidence Map","\u002Fen\u002Fmicroeconometrics\u002Fappendix","en\u002Fmicroeconometrics\u002Fappendix\u002Findex",[696,697,701,705],{"title":692,"path":693,"stem":694},{"title":698,"path":699,"stem":700},"Formula and Design Map","\u002Fen\u002Fmicroeconometrics\u002Fappendix\u002F27-formula-design-map","en\u002Fmicroeconometrics\u002Fappendix\u002F27-formula-design-map",{"title":702,"path":703,"stem":704},"Ten Worked Microeconometric Pitfalls","\u002Fen\u002Fmicroeconometrics\u002Fappendix\u002F28-worked-pitfalls","en\u002Fmicroeconometrics\u002Fappendix\u002F28-worked-pitfalls",{"title":706,"path":707,"stem":708},"Reading and Software Map","\u002Fen\u002Fmicroeconometrics\u002Fappendix\u002F29-reading-software-map","en\u002Fmicroeconometrics\u002Fappendix\u002F29-reading-software-map",{"title":710,"path":711,"stem":712,"children":713},"Capstone — Should Northbridge Expand Pathways?","\u002Fen\u002Fmicroeconometrics\u002Fcapstone","en\u002Fmicroeconometrics\u002Fcapstone\u002Findex",[714],{"title":710,"path":711,"stem":712},{"title":716,"path":717,"stem":718,"children":719,"page":249},"Microeconomics","\u002Fen\u002Fmicroeconomics","en\u002Fmicroeconomics",[720,726,732,738,744,750,756,762,768,774,780,786,792],{"title":721,"path":722,"stem":723,"children":724},"Advanced Microeconomics — Course Guide","\u002Fen\u002Fmicroeconomics\u002F00-intro","en\u002Fmicroeconomics\u002F00-intro\u002Findex",[725],{"title":721,"path":722,"stem":723},{"title":727,"path":728,"stem":729,"children":730},"Module 1 — Choice, Duality, and Revealed Preference","\u002Fen\u002Fmicroeconomics\u002F01-fundations","en\u002Fmicroeconomics\u002F01-fundations\u002Findex",[731],{"title":727,"path":728,"stem":729},{"title":733,"path":734,"stem":735,"children":736},"Module 2 — Comparative Statics and Welfare Measurement","\u002Fen\u002Fmicroeconomics\u002F02-comparative-statics","en\u002Fmicroeconomics\u002F02-comparative-statics\u002Findex",[737],{"title":733,"path":734,"stem":735},{"title":739,"path":740,"stem":741,"children":742},"Module 3 — Choice under Risk and Insurance","\u002Fen\u002Fmicroeconomics\u002F03-uncertainty","en\u002Fmicroeconomics\u002F03-uncertainty\u002Findex",[743],{"title":739,"path":740,"stem":741},{"title":745,"path":746,"stem":747,"children":748},"Module 4 — General Equilibrium and Welfare","\u002Fen\u002Fmicroeconomics\u002F04-general-equilibrium","en\u002Fmicroeconomics\u002F04-general-equilibrium\u002Findex",[749],{"title":745,"path":746,"stem":747},{"title":751,"path":752,"stem":753,"children":754},"Module 5 — Static, Dynamic, and Repeated Games","\u002Fen\u002Fmicroeconomics\u002F05-game-theory","en\u002Fmicroeconomics\u002F05-game-theory\u002Findex",[755],{"title":751,"path":752,"stem":753},{"title":757,"path":758,"stem":759,"children":760},"Module 6 — Oligopoly, Entry, and Algorithmic Pricing","\u002Fen\u002Fmicroeconomics\u002F06-oligopoly","en\u002Fmicroeconomics\u002F06-oligopoly\u002Findex",[761],{"title":757,"path":758,"stem":759},{"title":763,"path":764,"stem":765,"children":766},"Module 7 — Information Economics and Contracts","\u002Fen\u002Fmicroeconomics\u002F07-information-economics","en\u002Fmicroeconomics\u002F07-information-economics\u002Findex",[767],{"title":763,"path":764,"stem":765},{"title":769,"path":770,"stem":771,"children":772},"Module 8 — Mechanism Design and Auctions","\u002Fen\u002Fmicroeconomics\u002F08-mechanism-design","en\u002Fmicroeconomics\u002F08-mechanism-design\u002Findex",[773],{"title":769,"path":770,"stem":771},{"title":775,"path":776,"stem":777,"children":778},"Module 9 — Behavioural and Experimental Microeconomics","\u002Fen\u002Fmicroeconomics\u002F09-behavioural-economics","en\u002Fmicroeconomics\u002F09-behavioural-economics\u002Findex",[779],{"title":775,"path":776,"stem":777},{"title":781,"path":782,"stem":783,"children":784},"Module 10 — Externalities, Public Goods, and Collective Action","\u002Fen\u002Fmicroeconomics\u002F10-externalities-public-goods","en\u002Fmicroeconomics\u002F10-externalities-public-goods\u002Findex",[785],{"title":781,"path":782,"stem":783},{"title":787,"path":788,"stem":789,"children":790},"Module 11 — Matching and Market Design","\u002Fen\u002Fmicroeconomics\u002F11-market-design","en\u002Fmicroeconomics\u002F11-market-design\u002Findex",[791],{"title":787,"path":788,"stem":789},{"title":793,"path":794,"stem":795,"children":796},"Module 12 — Integrated Microeconomic Design Studio","\u002Fen\u002Fmicroeconomics\u002F12-review","en\u002Fmicroeconomics\u002F12-review\u002Findex",[797],{"title":793,"path":794,"stem":795},{"title":799,"path":800,"stem":801,"children":802},"Playground","\u002Fen\u002Fplayground","en\u002Fplayground\u002Findex",[803,804,808,812,816,820],{"title":799,"path":800,"stem":801},{"title":805,"path":806,"stem":807},"Typst Plugin Playground","\u002Fen\u002Fplayground\u002F01-typstex","en\u002Fplayground\u002F01-typstex",{"title":809,"path":810,"stem":811},"Citation Plugin Test","\u002Fen\u002Fplayground\u002F02-citation","en\u002Fplayground\u002F02-citation",{"title":813,"path":814,"stem":815},"Pyodide Playground","\u002Fen\u002Fplayground\u002F03-pyodide","en\u002Fplayground\u002F03-pyodide",{"title":817,"path":818,"stem":819},"WebR Playground","\u002Fen\u002Fplayground\u002F04-webr","en\u002Fplayground\u002F04-webr",{"title":821,"path":822,"stem":823},"Chart.js 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文献综述的构建与写作","\u002Fzh\u002Facademic-writing\u002F04-writing-the-literature-review","zh\u002Facademic-writing\u002F04-writing-the-literature-review",{"title":1056,"path":1057,"stem":1058},"8. 文献综述清单与模板","\u002Fzh\u002Facademic-writing\u002F08-literature-review-checklist-and-template","zh\u002Facademic-writing\u002F08-literature-review-checklist-and-template",{"title":1060,"path":1061,"stem":1062},"10. 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与重抽样","\u002Fzh\u002Fprob-and-stats\u002F02-statistics\u002F07-bootstrap","zh\u002Fprob-and-stats\u002F02-statistics\u002F07-bootstrap\u002Findex",[1726],{"title":1722,"path":1723,"stem":1724},{"title":1728,"path":1729,"stem":1730},"第十三章：前沿文献与现代统计案例（2023—2026）","\u002Fzh\u002Fprob-and-stats\u002F03-frontier-literature-2026","zh\u002Fprob-and-stats\u002F03-frontier-literature-2026",{"title":1732,"path":1733,"stem":1734,"children":1735,"page":249},"Quant","\u002Fzh\u002Fquant","zh\u002Fquant",[1736,1742,1746,1750,1754,1758,1762,1766,1770,1774,1778],{"title":1737,"path":1738,"stem":1739,"children":1740},"量化投资——从可检验信号到可执行组合","\u002Fzh\u002Fquant\u002F00-index","zh\u002Fquant\u002F00-index",[1741],{"title":1737,"path":1738,"stem":1739},{"title":1743,"path":1744,"stem":1745},"数据获取与预处理","\u002Fzh\u002Fquant\u002F01-research-data","zh\u002Fquant\u002F01-research-data",{"title":1747,"path":1748,"stem":1749},"因子与交易信号","\u002Fzh\u002Fquant\u002F02-factor-and-signals","zh\u002Fquant\u002F02-factor-and-signals",{"title":1751,"path":1752,"stem":1753},"策略建模与回测","\u002Fzh\u002Fquant\u002F03-modeling-and-backtest","zh\u002Fquant\u002F03-modeling-and-backtest",{"title":1755,"path":1756,"stem":1757},"组合构建与风险建模（资产定价视角）","\u002Fzh\u002Fquant\u002F04-portfolio-and-risk","zh\u002Fquant\u002F04-portfolio-and-risk",{"title":1759,"path":1760,"stem":1761},"执行策略与市场微结构概览","\u002Fzh\u002Fquant\u002F05-execution-and-microstructure","zh\u002Fquant\u002F05-execution-and-microstructure",{"title":1763,"path":1764,"stem":1765},"策略上线、监控与迭代","\u002Fzh\u002Fquant\u002F06-production-and-monitoring","zh\u002Fquant\u002F06-production-and-monitoring",{"title":1767,"path":1768,"stem":1769},"量化工程与工具链概览","\u002Fzh\u002Fquant\u002F07-engineering-stack","zh\u002Fquant\u002F07-engineering-stack",{"title":1771,"path":1772,"stem":1773},"计量方法与实证检验","\u002Fzh\u002Fquant\u002F08-econometric-methods","zh\u002Fquant\u002F08-econometric-methods",{"title":1775,"path":1776,"stem":1777},"案例研究：多因子股票 Alpha 策略全流程","\u002Fzh\u002Fquant\u002F09-case-study","zh\u002Fquant\u002F09-case-study",{"title":1779,"path":1780,"stem":1781},"量化投资文献与软件图谱","\u002Fzh\u002Fquant\u002F10-reading-software-map","zh\u002Fquant\u002F10-reading-software-map",null,{"id":1784,"title":256,"body":1785,"description":2801,"extension":2802,"features":1782,"hero":1782,"layout":1782,"locale":1782,"meta":2803,"navigation":1782,"path":257,"published":2806,"seo":2807,"stem":258,"__hash__":2808},"docs\u002Fen\u002Fbusiness-analytics\u002F00-index.md",{"type":1786,"value":1787,"toc":2788},"minimark",[1788,1792,1796,1997,2004,2009,2012,2090,2093,2097,2100,2128,2131,2135,2138,2162,2166,2282,2286,2289,2390,2393,2397,2458,2461,2465,2614,2617,2621,2624,2684,2687,2691,2698,2735,2743,2747,2750,2776],[1789,1790,256],"h1",{"id":1791},"business-analytics-from-data-to-defensible-action",[1793,1794,1795],"p",{},"Business analytics is not the production of dashboards or model scores. It is a disciplined chain:",[1797,1798,1801],"span",{"className":1799},[1800],"katex-display",[1797,1802,1805,1861],{"className":1803},[1804],"katex",[1797,1806,1809],{"className":1807},[1808],"katex-mathml",[1810,1811,1814],"math",{"xmlns":1812,"display":1813},"http:\u002F\u002Fwww.w3.org\u002F1998\u002FMath\u002FMathML","block",[1815,1816,1817,1856],"semantics",{},[1818,1819,1820,1824,1828,1831,1833,1836,1838,1841,1843,1846,1848,1851],"mrow",{},[1821,1822,1823],"mtext",{},"decision",[1825,1826,1827],"mo",{},"→",[1821,1829,1830],{},"measurement",[1825,1832,1827],{},[1821,1834,1835],{},"description",[1825,1837,1827],{},[1821,1839,1840],{},"prediction",[1825,1842,1827],{},[1821,1844,1845],{},"action",[1825,1847,1827],{},[1821,1849,1850],{},"feedback",[1852,1853,1855],"mi",{"mathvariant":1854},"normal",".",[1857,1858,1860],"annotation",{"encoding":1859},"application\u002Fx-tex","\\text{decision} \\rightarrow \\text{measurement} \\rightarrow \\text{description}\n\\rightarrow \\text{prediction} \\rightarrow \\text{action} \\rightarrow \\text{feedback}.",[1797,1862,1866,1895,1917,1939,1960,1982],{"className":1863,"ariaHidden":1865},[1864],"katex-html","true",[1797,1867,1870,1875,1883,1888,1892],{"className":1868},[1869],"base",[1797,1871],{"className":1872,"style":1874},[1873],"strut","height:0.6944em;",[1797,1876,1880],{"className":1877},[1878,1879],"mord","text",[1797,1881,1823],{"className":1882},[1878],[1797,1884],{"className":1885,"style":1887},[1886],"mspace","margin-right:0.2778em;",[1797,1889,1827],{"className":1890},[1891],"mrel",[1797,1893],{"className":1894,"style":1887},[1886],[1797,1896,1898,1902,1908,1911,1914],{"className":1897},[1869],[1797,1899],{"className":1900,"style":1901},[1873],"height:0.6151em;",[1797,1903,1905],{"className":1904},[1878,1879],[1797,1906,1830],{"className":1907},[1878],[1797,1909],{"className":1910,"style":1887},[1886],[1797,1912,1827],{"className":1913},[1891],[1797,1915],{"className":1916,"style":1887},[1886],[1797,1918,1920,1924,1930,1933,1936],{"className":1919},[1869],[1797,1921],{"className":1922,"style":1923},[1873],"height:0.8889em;vertical-align:-0.1944em;",[1797,1925,1927],{"className":1926},[1878,1879],[1797,1928,1835],{"className":1929},[1878],[1797,1931],{"className":1932,"style":1887},[1886],[1797,1934,1827],{"className":1935},[1891],[1797,1937],{"className":1938,"style":1887},[1886],[1797,1940,1942,1945,1951,1954,1957],{"className":1941},[1869],[1797,1943],{"className":1944,"style":1923},[1873],[1797,1946,1948],{"className":1947},[1878,1879],[1797,1949,1840],{"className":1950},[1878],[1797,1952],{"className":1953,"style":1887},[1886],[1797,1955,1827],{"className":1956},[1891],[1797,1958],{"className":1959,"style":1887},[1886],[1797,1961,1963,1967,1973,1976,1979],{"className":1962},[1869],[1797,1964],{"className":1965,"style":1966},[1873],"height:0.6679em;",[1797,1968,1970],{"className":1969},[1878,1879],[1797,1971,1845],{"className":1972},[1878],[1797,1974],{"className":1975,"style":1887},[1886],[1797,1977,1827],{"className":1978},[1891],[1797,1980],{"className":1981,"style":1887},[1886],[1797,1983,1985,1988,1994],{"className":1984},[1869],[1797,1986],{"className":1987,"style":1874},[1873],[1797,1989,1991],{"className":1990},[1878,1879],[1797,1992,1850],{"className":1993},[1878],[1797,1995,1855],{"className":1996},[1878],[1793,1998,1999,2000],{},"This course asks one question at every step: ",[2001,2002,2003],"strong",{},"what decision becomes better, for whom, and how will we know?",[2005,2006,2008],"h2",{"id":2007},"the-running-case-harbormart","The running case: HarborMart",[1793,2010,2011],{},"HarborMart is a fictional UK omnichannel grocer. Customers browse online, order for delivery or collection, redeem promotions and sometimes stop buying. Stores replenish perishable and non-perishable products, schedule pickers and drivers, and promise delivery windows.",[2013,2014,2015,2031],"table",{},[2016,2017,2018],"thead",{},[2019,2020,2021,2025,2028],"tr",{},[2022,2023,2024],"th",{},"Business concern",[2022,2026,2027],{},"Analytic object",[2022,2029,2030],{},"Possible action",[2032,2033,2034,2046,2057,2068,2079],"tbody",{},[2019,2035,2036,2040,2043],{},[2037,2038,2039],"td",{},"late deliveries",[2037,2041,2042],{},"probability an accepted order misses its window",[2037,2044,2045],{},"change capacity or promise rules",[2019,2047,2048,2051,2054],{},[2037,2049,2050],{},"stockouts",[2037,2052,2053],{},"demand distribution by product–store–day",[2037,2055,2056],{},"change replenishment quantity",[2019,2058,2059,2062,2065],{},[2037,2060,2061],{},"promotion waste",[2037,2063,2064],{},"incremental contribution caused by an offer",[2037,2066,2067],{},"target, redesign or stop the offer",[2019,2069,2070,2073,2076],{},[2037,2071,2072],{},"customer loss",[2037,2074,2075],{},"calibrated probability of inactivity",[2037,2077,2078],{},"intervene only when treatment is worthwhile",[2019,2080,2081,2084,2087],{},[2037,2082,2083],{},"queue congestion",[2037,2085,2086],{},"waiting-time distribution by hour",[2037,2088,2089],{},"alter staffing or appointment capacity",[1793,2091,2092],{},"All HarborMart records and amounts are synthetic. Real organisations and studies are explicitly labelled.",[2005,2094,2096],{"id":2095},"learning-outcomes","Learning outcomes",[1793,2098,2099],{},"By the end, you should be able to:",[2101,2102,2103,2107,2110,2113,2116,2119,2122,2125],"ol",{},[2104,2105,2106],"li",{},"turn an ambiguous request into a decision, unit of analysis, target, horizon, constraints and loss function;",[2104,2108,2109],{},"audit data grain, timestamps, missingness, joins, denominators and lineage before calculation;",[2104,2111,2112],{},"describe distributions, cohorts, funnels and KPIs without hiding uncertainty or subgroup differences;",[2104,2114,2115],{},"validate regression, forecasting and classification models against decision-relevant baselines without leakage;",[2104,2117,2118],{},"convert calibrated predictions into thresholds, allocations, inventory, staffing or pricing decisions;",[2104,2120,2121],{},"distinguish association, prediction, causal effect and optimisation;",[2104,2123,2124],{},"evaluate fairness, privacy, security, human review and failure recovery across an analytic system;",[2104,2126,2127],{},"present a recommendation that another analyst can reproduce and a decision owner can contest.",[1793,2129,2130],{},"These outcomes suit advanced undergraduates and taught postgraduates. Graduate extensions add formal decision theory, causal identification, robust optimisation and deployment critique.",[2005,2132,2134],{"id":2133},"preparation","Preparation",[1793,2136,2137],{},"You need percentages, algebra, probability, confidence intervals and basic Python. Prior machine learning or optimisation is not required.",[2139,2140,2142,2159],"legacy-details",{"title":2141},"Ten-minute readiness check",[2101,2143,2144,2147,2150,2153,2156],{},[2104,2145,2146],{},"Sales rise from £100,000 to £120,000. Is the growth rate 20 percentage points?",[2104,2148,2149],{},"A churn model is 95% accurate when only 3% of customers churn. Is it useful?",[2104,2151,2152],{},"A forecast is made on Monday using a field updated on Wednesday. What failed?",[2104,2154,2155],{},"A promotion is associated with larger baskets. Does that prove the promotion caused the increase?",[2104,2157,2158],{},"A model predicts demand perfectly. Can inventory be ordered without knowing holding and shortage costs?",[1793,2160,2161],{},"Answers: no, it is 20%; not necessarily—a no-churn rule is already 97% accurate; temporal leakage; no, targeting and selection may confound the comparison; no, prediction does not specify the action or objective.",[2005,2163,2165],{"id":2164},"course-route","Course route",[2013,2167,2168,2181],{},[2016,2169,2170],{},[2019,2171,2172,2175,2178],{},[2022,2173,2174],{},"Module",[2022,2176,2177],{},"Central question",[2022,2179,2180],{},"Main deliverable",[2032,2182,2183,2198,2212,2226,2240,2254,2268],{},[2019,2184,2185,2192,2195],{},[2037,2186,2187],{},[2188,2189,2191],"a",{"href":2190},".\u002F00-intro\u002F","0. Decision and data foundations",[2037,2193,2194],{},"What decision, population and evidence are we analysing?",[2037,2196,2197],{},"analysis contract and data audit",[2019,2199,2200,2206,2209],{},[2037,2201,2202],{},[2188,2203,2205],{"href":2204},".\u002F01-descriptive\u002F","1. Descriptive analytics",[2037,2207,2208],{},"What happened, to whom and with what uncertainty?",[2037,2210,2211],{},"diagnostic brief and decision display",[2019,2213,2214,2220,2223],{},[2037,2215,2216],{},[2188,2217,2219],{"href":2218},".\u002F02-predictive\u002F","2. Predictive analytics",[2037,2221,2222],{},"What can be forecast at the decision time?",[2037,2224,2225],{},"validated score or forecast",[2019,2227,2228,2234,2237],{},[2037,2229,2230],{},[2188,2231,2233],{"href":2232},".\u002F03-prescriptive\u002F","3. Prescriptive analytics",[2037,2235,2236],{},"Which feasible action has the best expected consequence?",[2037,2238,2239],{},"policy, allocation or schedule",[2019,2241,2242,2248,2251],{},[2037,2243,2244],{},[2188,2245,2247],{"href":2246},".\u002F04-deployment\u002F","4. Deployment and governance",[2037,2249,2250],{},"Will the decision system remain useful, safe and accountable?",[2037,2252,2253],{},"monitoring and control plan",[2019,2255,2256,2262,2265],{},[2037,2257,2258],{},[2188,2259,2261],{"href":2260},".\u002Fcapstone\u002F","Capstone",[2037,2263,2264],{},"Can the entire chain survive an audit?",[2037,2266,2267],{},"executive decision memo plus technical appendix",[2019,2269,2270,2276,2279],{},[2037,2271,2272],{},[2188,2273,2275],{"href":2274},".\u002Fappendix\u002F","Appendix and revision tools",[2037,2277,2278],{},"Which formula, pitfall or source supports the decision?",[2037,2280,2281],{},"revision map and evidence trail",[2005,2283,2285],{"id":2284},"the-analytics-contract","The analytics contract",[1793,2287,2288],{},"Complete this before opening a modelling library:",[2013,2290,2291,2301],{},[2016,2292,2293],{},[2019,2294,2295,2298],{},[2022,2296,2297],{},"Field",[2022,2299,2300],{},"HarborMart delivery example",[2032,2302,2303,2311,2318,2326,2334,2342,2350,2358,2366,2374,2382],{},[2019,2304,2305,2308],{},[2037,2306,2307],{},"decision owner",[2037,2309,2310],{},"regional fulfilment manager",[2019,2312,2313,2315],{},[2037,2314,1823],{},[2037,2316,2317],{},"accept, re-promise or reroute an order",[2019,2319,2320,2323],{},[2037,2321,2322],{},"decision time",[2037,2324,2325],{},"immediately before checkout confirmation",[2019,2327,2328,2331],{},[2037,2329,2330],{},"unit",[2037,2332,2333],{},"one proposed order–delivery window",[2019,2335,2336,2339],{},[2037,2337,2338],{},"target",[2037,2340,2341],{},"delivered after the promised end time",[2019,2343,2344,2347],{},[2037,2345,2346],{},"horizon",[2037,2348,2349],{},"same-day operational outcome",[2019,2351,2352,2355],{},[2037,2353,2354],{},"available information",[2037,2356,2357],{},"basket, store, slot, distance and capacity known at checkout",[2019,2359,2360,2363],{},[2037,2361,2362],{},"objective",[2037,2364,2365],{},"contribution after delivery and service-failure costs",[2019,2367,2368,2371],{},[2037,2369,2370],{},"constraints",[2037,2372,2373],{},"picker hours, driver routes, food safety and customer commitments",[2019,2375,2376,2379],{},[2037,2377,2378],{},"baseline",[2037,2380,2381],{},"existing capacity rule",[2019,2383,2384,2387],{},[2037,2385,2386],{},"review rule",[2037,2388,2389],{},"human override for disruptions; log reason and outcome",[1793,2391,2392],{},"A model without this contract may be statistically correct and operationally unusable.",[2005,2394,2396],{"id":2395},"four-claims-that-must-not-be-merged","Four claims that must not be merged",[2013,2398,2399,2412],{},[2016,2400,2401],{},[2019,2402,2403,2406,2409],{},[2022,2404,2405],{},"Claim",[2022,2407,2408],{},"Defensible example",[2022,2410,2411],{},"Evidence required",[2032,2413,2414,2425,2436,2447],{},[2019,2415,2416,2419,2422],{},[2037,2417,2418],{},"descriptive",[2037,2420,2421],{},"“Late-delivery rate was 8.2% last month.”",[2037,2423,2424],{},"defined denominator and complete period",[2019,2426,2427,2430,2433],{},[2037,2428,2429],{},"predictive",[2037,2431,2432],{},"“This order has a 0.31 late-delivery risk.”",[2037,2434,2435],{},"time-valid out-of-sample calibration",[2019,2437,2438,2441,2444],{},[2037,2439,2440],{},"causal",[2037,2442,2443],{},"“Adding one picker reduces lateness by 2 points.”",[2037,2445,2446],{},"credible counterfactual design",[2019,2448,2449,2452,2455],{},[2037,2450,2451],{},"prescriptive",[2037,2453,2454],{},"“Add a picker from 17:00 to 20:00.”",[2037,2456,2457],{},"effects, costs, constraints and alternatives",[1793,2459,2460],{},"Prediction can rank risks without identifying what intervention will work. Causal evidence can estimate an effect without selecting a feasible schedule. Optimisation can return a precise answer to a badly specified objective.",[2005,2462,2464],{"id":2463},"a-12-week-teaching-route","A 12-week teaching route",[2013,2466,2467,2480],{},[2016,2468,2469],{},[2019,2470,2471,2475,2477],{},[2022,2472,2474],{"align":2473},"right","Week",[2022,2476,2134],{},[2022,2478,2479],{},"Workshop output",[2032,2481,2482,2493,2504,2515,2526,2537,2548,2559,2570,2581,2592,2603],{},[2019,2483,2484,2487,2490],{},[2037,2485,2486],{"align":2473},"1",[2037,2488,2489],{},"decision framing",[2037,2491,2492],{},"one-page analytics contract",[2019,2494,2495,2498,2501],{},[2037,2496,2497],{"align":2473},"2",[2037,2499,2500],{},"data grain, time and lineage",[2037,2502,2503],{},"join and leakage audit",[2019,2505,2506,2509,2512],{},[2037,2507,2508],{"align":2473},"3",[2037,2510,2511],{},"distributions and robust summaries",[2037,2513,2514],{},"diagnostic data profile",[2019,2516,2517,2520,2523],{},[2037,2518,2519],{"align":2473},"4",[2037,2521,2522],{},"KPIs, cohorts and funnels",[2037,2524,2525],{},"metric tree with denominator checks",[2019,2527,2528,2531,2534],{},[2037,2529,2530],{"align":2473},"5",[2037,2532,2533],{},"visual evidence and uncertainty",[2037,2535,2536],{},"one decision display and critique",[2019,2538,2539,2542,2545],{},[2037,2540,2541],{"align":2473},"6",[2037,2543,2544],{},"validation and baselines",[2037,2546,2547],{},"time-respecting evaluation plan",[2019,2549,2550,2553,2556],{},[2037,2551,2552],{"align":2473},"7",[2037,2554,2555],{},"regression and forecasting",[2037,2557,2558],{},"benchmark comparison",[2019,2560,2561,2564,2567],{},[2037,2562,2563],{"align":2473},"8",[2037,2565,2566],{},"classification and calibration",[2037,2568,2569],{},"probability audit and threshold table",[2019,2571,2572,2575,2578],{},[2037,2573,2574],{"align":2473},"9",[2037,2576,2577],{},"trees, ensembles and drift",[2037,2579,2580],{},"model card and monitoring triggers",[2019,2582,2583,2586,2589],{},[2037,2584,2585],{"align":2473},"10",[2037,2587,2588],{},"optimisation, inventory and queues",[2037,2590,2591],{},"feasible policy with sensitivity analysis",[2019,2593,2594,2597,2600],{},[2037,2595,2596],{"align":2473},"11",[2037,2598,2599],{},"experiments and causal targeting",[2037,2601,2602],{},"experiment or identification design",[2019,2604,2605,2608,2611],{},[2037,2606,2607],{"align":2473},"12",[2037,2609,2610],{},"deployment and capstone defence",[2037,2612,2613],{},"decision memo, rollback rule and oral defence",[1793,2615,2616],{},"Suggested workload is 90 minutes of preparation, two hours of workshop activity and 90 minutes of follow-up per week. Every interactive cell has a static worked example, so students can participate without running code. Text alternatives accompany diagrams and colour is never the only carrier of meaning.",[2005,2618,2620],{"id":2619},"assessment-alignment","Assessment alignment",[1793,2622,2623],{},"The following is a teaching template, not an institutional grading rule:",[2013,2625,2626,2639],{},[2016,2627,2628],{},[2019,2629,2630,2633,2636],{},[2022,2631,2632],{},"Task",[2022,2634,2635],{"align":2473},"Suggested share",[2022,2637,2638],{},"Evidence assessed",[2032,2640,2641,2652,2663,2673],{},[2019,2642,2643,2646,2649],{},[2037,2644,2645],{},"data and metric audit",[2037,2647,2648],{"align":2473},"20%",[2037,2650,2651],{},"grain, timestamps, joins, denominator, uncertainty",[2019,2653,2654,2657,2660],{},[2037,2655,2656],{},"predictive notebook",[2037,2658,2659],{"align":2473},"25%",[2037,2661,2662],{},"baseline, split, calibration, subgroup error, reproducibility",[2019,2664,2665,2668,2670],{},[2037,2666,2667],{},"prescriptive case",[2037,2669,2659],{"align":2473},[2037,2671,2672],{},"objective, constraints, sensitivity and implementation",[2019,2674,2675,2678,2681],{},[2037,2676,2677],{},"integrated capstone",[2037,2679,2680],{"align":2473},"30%",[2037,2682,2683],{},"complete decision chain, communication and governance",[1793,2685,2686],{},"For postgraduate work, require an explicit identification argument, robustness analysis and comparison between statistical loss and decision regret.",[2005,2688,2690],{"id":2689},"current-evidence-window","Current evidence window",[1793,2692,2693,2694,2697],{},"The reading map was checked on ",[2001,2695,2696],{},"1 August 2026",". Three current boundaries matter:",[2699,2700,2701,2711,2720],"ul",{},[2104,2702,2703,2704,2710],{},"NIST’s voluntary ",[2188,2705,2709],{"href":2706,"rel":2707},"https:\u002F\u002Fwww.nist.gov\u002Fitl\u002Fai-risk-management-framework",[2708],"nofollow","AI Risk Management Framework"," remains a useful govern–map–measure–manage structure; NIST also notes that version 1.0 is being revised.",[2104,2712,2713,2714,2719],{},"The EU framework changed days before this course check: ",[2188,2715,2718],{"href":2716,"rel":2717},"https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002F?uri=CELEX%3A32026R1744",[2708],"Regulation (EU) 2026\u002F1744"," amended the AI Act, including implementation timelines. Legal conclusions must therefore be dated and checked, not copied from an old slide.",[2104,2721,2722,2723,2728,2729,2734],{},"Current organisational evidence shows analytics as a system problem: ",[2188,2724,2727],{"href":2725,"rel":2726},"https:\u002F\u002Fstock.walmart.com\u002Fsec-filings\u002Fall-sec-filings\u002Fcontent\u002F0000104169-26-000055\u002Fwmt-20260131.htm",[2708],"Walmart’s fiscal-2026 10-K"," links AI, automation and supply-chain investment, while Airbnb’s ",[2188,2730,2733],{"href":2731,"rel":2732},"https:\u002F\u002Fairbnb.tech\u002Fopensource\u002Fchronon\u002F",[2708],"Chronon feature platform"," emphasises lineage, temporal correctness and training–serving consistency.",[1793,2736,2737,2738,2742],{},"The ",[2188,2739,2741],{"href":2740},".\u002Fappendix\u002F26-reading-map","reading and evidence map"," separates standards, scholarly results, organisational cases and emerging work. It is selective teaching evidence, not a systematic review.",[2005,2744,2746],{"id":2745},"study-discipline","Study discipline",[1793,2748,2749],{},"For every chapter, produce four lines:",[2101,2751,2752,2758,2764,2770],{},[2104,2753,2754,2757],{},[2001,2755,2756],{},"claim:"," what is being asserted;",[2104,2759,2760,2763],{},[2001,2761,2762],{},"calculation:"," how the number was produced;",[2104,2765,2766,2769],{},[2001,2767,2768],{},"assumption:"," what must hold;",[2104,2771,2772,2775],{},[2001,2773,2774],{},"decision consequence:"," what changes if the claim is wrong.",[1793,2777,2778,2779,2782,2783,2787],{},"Start with ",[2188,2780,2489],{"href":2781},".\u002F00-intro\u002F01-decision-framing",", or use the ",[2188,2784,2786],{"href":2785},".\u002Fappendix\u002F24-formula-map","formula and decision map"," when revising.",{"title":10,"searchDepth":2789,"depth":2789,"links":2790},2,[2791,2792,2793,2794,2795,2796,2797,2798,2799,2800],{"id":2007,"depth":2789,"text":2008},{"id":2095,"depth":2789,"text":2096},{"id":2133,"depth":2789,"text":2134},{"id":2164,"depth":2789,"text":2165},{"id":2284,"depth":2789,"text":2285},{"id":2395,"depth":2789,"text":2396},{"id":2463,"depth":2789,"text":2464},{"id":2619,"depth":2789,"text":2620},{"id":2689,"depth":2789,"text":2690},{"id":2745,"depth":2789,"text":2746},"A decision-first course in descriptive, predictive and prescriptive analytics","md",{"sidebar":2804},{"order":2805},0,true,{"title":256,"description":2801},"ELrXEiJ_h2h479deL6IfhCNEq9fuqTmSxKobQQ4iwd8",[2810,2812],{"title":246,"path":247,"stem":248,"description":2811,"children":-1},"Discount incremental after-tax cash flows and expose forecast risk",{"title":262,"path":263,"stem":264,"description":2813,"children":-1},"Define the decision, measurement system and reproducible evidence chain",1785754719044]