Inference and intervention : causal models for business analysis

✍ Scribed by Ryall, Michael D.; Bramson, Aaron L.

• Publisher: Routledge
• Year: 2014
• Tongue: English
• Leaves: 276
• Category: Library

✦ Synopsis

Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change – as the authors put it, a managerial intervention – must precede any decision on how to control or change them, and understanding causality is crucial to making effective interventions.

The authors cover the full spectrum of causal modeling techniques useful for the managerial role, whether for intervention, situational assessment, strategic decision-making, or forecasting. From the basic concepts and nomenclature of causal modeling to decision tree analysis, qualitative methods, and quantitative modeling tools, this book offers a toolbox for MBA students and business professionals to make successful decisions in a managerial setting.

✦ Table of Contents

Introduction to causal analysis --
Qualitative causal models --
Application: interview case study --
Quantitative causal models --
Situational analysis --
Application: modeling business financials --
Single-agent interventions --
Application: disrupting the taxi business --
Multi-agent interventions --
Data-driven causal modeling.

✦ Subjects

Decision making -- Mathematical models;Decision making -- Statistical methods;Business planning -- Statistical methods;Prise de décision -- Modèles mathématiques;Prise de décision -- Méthodes statistiques;Planification stratégique -- Méthodes statistiques;Affaires;Méthode statistique;Modélisation statistique;Prise de décision