The Manual of Strategic Economic Decision Making: Using Bayesian Belief Networks to Solve Complex Pr
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- Artikel-Nr.: 10449906
Beschreibung
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
- 2.1 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
- 3.1 [A] [B]
- 3.1.1 2-Event BBN Proof
- 3.1.2 BBN Specification
- 4.1 [AB|AC]
- 4.1.1 Proof
- 4.1.2 BBN Specification
- 4.2 [AC|BC]
- 4.2.1 Proof4.2.2 BBN Specification
- 4.3 [AB|BC]
- 4.3.1 Proof
- 4.3.2 BBN Specification
- 5.1 3-Paths-[AB|AC|BC]
- 5.1.1 Proof
- 5.1.2 BBN Probabilities
Eigenschaften
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