Inference and Intervention

Causal Models for Business Analysis

Business & Finance, Economics, Econometrics, Statistics, Management & Leadership, Decision Making & Problem Solving
Cover of the book Inference and Intervention by Michael D. Ryall, Aaron L. Bramson, Taylor and Francis
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Author: Michael D. Ryall, Aaron L. Bramson ISBN: 9781135127718
Publisher: Taylor and Francis Publication: August 22, 2013
Imprint: Routledge Language: English
Author: Michael D. Ryall, Aaron L. Bramson
ISBN: 9781135127718
Publisher: Taylor and Francis
Publication: August 22, 2013
Imprint: Routledge
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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