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

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 wro...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Grover, Jeff (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Statistics .
Econometrics.
Operations research.
Management.
Statistical Theory and Methods.
Statistics in Business, Management, Economics, Finance, Insurance.
Operations Research and Decision Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares