Inference and Intervention: Causal Models for Business Analysis

Author:   Michael D. Ryall (University of Toronto, Canada) ,  Aaron Bramson (RIKEN Brain Science Institute, Japan)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780415657600


Pages:   266
Publication Date:   18 September 2013
Format:   Paperback
Availability:   In Print   Availability explained
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Inference and Intervention: Causal Models for Business Analysis


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Full Product Details

Author:   Michael D. Ryall (University of Toronto, Canada) ,  Aaron Bramson (RIKEN Brain Science Institute, Japan)
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Dimensions:   Width: 17.80cm , Height: 1.80cm , Length: 25.40cm
Weight:   0.520kg
ISBN:  

9780415657600


ISBN 10:   0415657601
Pages:   266
Publication Date:   18 September 2013
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction to Causal Analysis 2. Qualitative Causal Models 3. Application: Interview Case Study 4. Quantitative Causal Models 5. Situational Analysis 6. Application: Modeling Business Financials 7. Single-Agent Interventions 8. Application: Disrupting the Taxi Business 9. Multi-Agent Intervention 10. Data-Driven Causal Modeling

Reviews

One of the most difficult problems any real world decision maker faces is how to properly incorporate prior information into current decisions. Modes of analysis used by management consultants such as issue trees direct our thinking away from this key question of causality. This stunning book by Ryall and Bramson introduces causal models as a method of focusing our attention on what is important: Why are these things happening, and (therefore) what can we do about it? Both modeling and strategy are given full attention. Although this book is designed for managers and is full of practical managerial examples, it is essential reading for anyone who has to make significant decisions. - David K. Levine, Washington University in St. Louis Ryall and Bramson have written a remarkable book that combines a clear, comprehensive introduction into qualitative and quantitative causal models with case studies and examples that show managers how to apply causal models to see the world more clearly and make better decisions. After reading this book, you'll quit your spreadsheet and start drawing causal networks instead. - Scott E. Page, University of Michigan and Santa Fe Institute


One of the most difficult problems any real world decision maker faces is how to properly incorporate prior information into current decisions. Modes of analysis used by management consultants such as issue trees direct our thinking away from this key question of causality. This stunning book by Ryall and Bramson introduces causal models as a method of focusing our attention on what is important: Why are these things happening, and (therefore) what can we do about it? Both modeling and strategy are given full attention. Although this book is designed for managers and is full of practical managerial examples, it is essential reading for anyone who has to make significant decisions. - David K. Levine, Washington University in St. Louis


One of the most difficult problems any real world decision maker faces is how to properly incorporate prior information into current decisions. Modes of analysis used by management consultants such as issue trees direct our thinking away from this key question of causality. This stunning book by Ryall and Bramson introduces causal models as a method of focusing our attention on what is important: Why are these things happening, and (therefore) what can we do about it? Both modeling and strategy are given full attention. Although this book is designed for managers and is full of practical managerial examples, it is essential reading for anyone who has to make significant decisions. - David K. Levine, Washington University in St. Louis Ryall and Bramson have written a remarkable book that combines a clear, comprehensive introduction into qualitative and quantitative causal models with case studies and examples that show managers how to apply causal models to see the world more clearly and make better decisions. After reading this book, you'll quit your spreadsheet and start drawing causal networks instead. - Scott E. Page, University of Michigan and Santa Fe Institute


Author Information

Michael D. Ryall is an Associate Professor of Strategy at the University of Toronto, Canada. He teaches courses on advanced strategy analysis and on causal modeling to undergraduate, MBA and EMBA students. Prior to obtaining a PhD and becoming a full-time scholar, he held positions in consulting, general management and finance. Aaron L. Bramson is currently a researcher at the RIKEN Brain Science Institute, Japan. Previously he worked as a research fellow in the Rotman School of Management at the University of Toronto, Canada, as a software engineer at Lockheed Martin Corporation, and has taught numerous workshops on complexity, networks, and agent-based modeling around the world.

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