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Table of Contents

I Fundamentals

  1. Introduction
  2. Networks
  3. Probabilities
  4. Probabilistic Networks
  5. Solving Probabilistic Networks

II Model Construction

  1. Eliciting the Model
  2. Modeling Techniques
  3. Data-Driven Modeling

III Model Analysis

  1. Conflict Analysis
  2. Sensitivity Analysis
  3. Value of Information Analysis