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Manual of Strategic Economic Decision Making : Using Bayesian Belief Networks to Solve Complex Problems
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This book serves as a guide and manual on how to specify and compute 2-, 3-, & 4-Event Bayesian Belief Networks (BBNs). It walks the reader through the steps of fitting BBNs and solving them numerically using mathematical proof and also by example, including all data sets and Excel solutions to each of the 50 BBNs. The book is written for professionals primarily but with a proof-based academic rigor.
The author's first book on this topic was a primer introducing readers to the basic complexities and nuances associated with learning Bayes’ theory and inverse probability for the first time, meant for non-statisticians unfamiliar with Bayes’ theorem - as is this book. This new book expands upon that approach and is meant to be a prescriptive guide for building Bayesian Belief Networks and executive decision-making for students and professionals; intended so that decision-makers can invest their time and start using this inductive reasoning principle in their decision-making. It highlights the utility of an algorithm which served as the basis for the first book and includes fifty 2-,3-, and 4-event BBNs of numerous variants.
Genre: Mathematics, Business + Money Management
Author: Jeff Grover
Street Date: January 5, 2017
Item Number (DPCI): 248-35-3574