Inference and Intervention: Causal Models for Business Analysis
| Author | : | |
| Rating | : | 4.48 (588 Votes) |
| Asin | : | 0415657601 |
| Format Type | : | paperback |
| Number of Pages | : | 280 Pages |
| Publish Date | : | 2017-05-16 |
| Language | : | English |
DESCRIPTION:
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.. Bramson is currently a researcher at the RIKEN Brain Science Institute, Japan. He teaches courses on advanced strategy analysis and on causal modeling to
Page, University of Michigan and Santa Fe Institute . After reading this book, you'll quit your spreadsheet and start drawing causal networks instead." - Scott E. 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. "One of the most difficult problems any real world decision maker faces is how to properly incorporate prior information into current decisions. Levine, Washington University in St. Modes of analysis used by management consultants such as issue trees direct our thinking away from this key question of causality. Although this book is designed for managers and is full of practical managerial examples, it is essential r
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.. Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications
Awesome resource on bayesian modeling in business contexts! How could it be otherwise? I wrote it :))The book is intended as a textbook for a 2nd year MBA elective - so, accessible at relatively nontechnical, graduate level. Focus is on building sophisticated models in various contexts (product development, business planning, etc.). Good method for quantifying sce