The Manual of Strategic Economic Decision Making Using Bayesian Belief Networks to Solve Complex Problems /

• Main Author: Grover, Jeff (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Subjects: Statistics.; Management.; Operations research.; Decision making.; Econometrics.; Statistical Theory and Methods.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Operation Research/Decision Theory.

This book is an extension of the author’s first book and serves as a guide and manual on how to specify and compute 2-, 3-, & 4-Event Bayesian Belief Networks (BBN). It walks the learner through the steps of fitting and solving fifty BBN numerically, using mathematical proof. The author wrote th...

Table of Contents:

• 1. Introduction
• 1.1 Bayes' Theorem: An Introduction
• 1.2 Protocol
• 1.3 Data
• 1.4 Statistical Properties of Bayes' Theorem
• 1.5 Base Matrices
• 1.5.1 Event A Node
• 2. Base Matrices
• 2.1 Event A Node
• 2.1.1 Event A Node-Prior Counts
• 2.1.2 Module A-Prior Probabilities
• 2.2 Event B
• 2.2.1 Event B Node-Likelihood Counts
• 2.2.2 Module B Node
• 2.2.3 Event B Node-Counts
• 2.2.4 Event B Node-Likelihood Probabilities
• 2.3 Event C Node
• 2.3.1 Event C Node-Counts
• 2.3.2 Event C Node-Likelihood Probabilities
• 2.3.3 Event C Node-Counts
• 2.3.4 Event C Node-Likelihood Probabilities
• 2.3.5 Event C Node-Counts
• 2.3.6 Event C Node-Likelihood Probabilities
• 2.3.7 Event C Node-Counts
• 2.3.8 Event C Node-Probabilities
• 2.4 Event D Node
• 2.4.1 Event D Node-Counts
• 2.4.2 Event D Node-Likelihood Probabilities
• 2.5 Event D Node-Counts
• 2.5.1 Event D Node-Likelihood Probabilities
• 2.5.2 Event D Node-Counts
• 2.5.3 Event D Node-Likelihood Probabilities
• 2.5.4 Event D Node-Counts
• 2.5.5 Event D Node-Likelihood Probabilities
• 2.5.6 Event D Node-Counts
• 2.5.7 Event D Node-Likelihood Probabilities
• 2.5.8 Event D Node-Counts
• 2.5.9 Event D Node-Likelihood Probabilities
• 2.5.10 Event D Node-Counts
• 2.5.11 Event D Node-Likelihood Probabilities
• 3. 2-Event 1-Path BBN
• 3.1 [A] [B]
• 3.1.1 2-Event BBN Proof
• 3.1.2 BBN Specification
• 4.3-Event 2-Path BBNs
• 4.1 [AB|AC]
• 4.1.1 Proof
• 4.1.2 BBN Specification
• 4.2 [AC|BC]
• 4.2.1 Proof
• 4.2.2 BBN Specification
• 4.3 [AB|BC]
• 4.3.1 Proof
• 4.3.2 BBN Specification
• 5. 3-Event 3-Path BBNs
• 5.1 3-Paths-[AB|AC|BC]
• 5.1.1 Proof
• 5.1.2 BBN Probabilities.