• Read me first
• Hello GeNIe!
• Introduction
  • Guide to GeNIe manual
  • GeNIe Modeler
  • QGeNIe
  • SMILE Engine
  • Embedding decision-theoretic methodology into custom software
  • BayesBox
  • Distribution information
  • GeNIe on a Mac
  • GeNIe on Linux
  • Non-Latin alphabets in GeNIe
  • Copyright notice
  • Disclaimer
  • Acknowledgments
• Decision-theoretic modeling
  • Decision analysis
  • Discrete and continuous variables
  • Probability
  • Utility
  • Bayesian networks
  • Influence diagrams
  • Dynamic Bayesian networks
  • Bayesian updating
  • Solving decision models
  • Changes in structure
  • Decision support systems
  • Computational complexity
• Building blocks of GeNIe
  • Introduction
  • GeNIe workspace
    • Introduction
    • The menu bar
    • Graph view
    • Tree view
    • Status bar
    • Case manager
    • Output window
    • Help menu
  • Components of GeNIe models
    • Node types
    • Canonical models
      • Noisy-MAX model
      • Noisy-Adder model
    • Multi-attribute utility nodes
    • Submodels
    • Arcs
    • Node status icons
    • Text boxes
    • Annotations
  • Model and component properties
    • Network properties
    • Submodel properties
    • Tools menu and Standard toolbar
    • Node menu and node pop-up menu
    • Node properties
  • Visual appearance, layout, and navigation
    • Introduction
    • Viewing nodes in the Graph View
    • Zooming and full screen mode
    • Format toolbar and Layout menu
    • Graph layout functions
    • Selection of model elements
    • Model navigation tools
  • Saving and loading models in GeNIe
    • Introduction
    • File menu
    • XDSL file format
    • DSL file format
    • Ergo file format
    • Netica file format
    • BN interchange format
    • Hugin file format
    • KI file format
    • XMLBIF file format
  • Inference algorithms
    • Introduction
    • Immediate and lazy evaluation
    • Relevance reasoning
    • Node menu
    • Network menu
    • Bayesian networks algorithms
      • Exact algorithms
        • Clustering algorithm
        • Relevance-based decomposition
        • Polytree algorithm
      • Stochastic sampling algorithms
        • EPIS Sampling
        • AIS algorithm
        • Probabilistic Logic Sampling
        • Backward Sampling
        • Likelihood Sampling
        • Self-Importance Sampling
      • Special algorithms
        • Probability of evidence
        • Annealed MAP (Maximum A-posteriori Probability)
        • Most probable explanation (MPE)
    • Influence diagrams algorithms
      • Policy evaluation
      • Find Best Policy
    • Algorithms for continuous and hybrid models
      • Introduction
      • Hybrid Forward Sampling
      • Autodiscretization
  • Obfuscation
  • Program options
  • Keyboard shortcuts
• Using GeNIe
  • Introduction
  • Bayesian networks
    • Building a Bayesian network
    • Structural analysis
    • Useful structural transformations
    • Entering and retracting evidence
    • Virtual evidence
    • Viewing results
    • Strength of influences
    • Controlling values
    • Sensitivity analysis in Bayesian networks
  • Influence diagrams
    • Building an influence diagram
    • Viewing results
    • Sensitivity analysis in influence diagrams
    • Value of information
  • Support for diagnosis
    • Introduction
    • Diagnosis menu
    • Defining diagnostic information
    • Single and multiple fault diagnosis
    • Spreadsheet view
    • Diagnosis window
    • Measures of diagnostic Value of Information (VOI)
    • BayesMobile
    • Diagnostic case management
    • Cost of observation
  • Learning
    • Data format
    • Accessing data
    • Data menu
    • Cleaning data
    • Fitting metalog distribution to data
    • Knowledge editor
    • Pattern editor
    • Structural learning
      • Introduction
      • Feature selection
      • Bayesian Search
      • PC
      • Greedy Thick Thinning
      • Tree Augmented Naive Bayes
      • Augmented Naive Bayes
      • Naive Bayes
    • Learning parameters
    • Generating a data file
    • Validation
  • Dynamic Bayesian networks
    • Introduction
    • Creating a discrete DBN
    • Creating a hybrid DBN
    • Inference in DBNs
    • Learning the parameters of discrete DBNs
    • Higher order influences
  • Equation-based and hybrid models
    • Introduction
    • Constructing equation-based models
    • Writing equations in GeNIe
      • Introduction
      • Functions
        • Random number generators
        • Statistical functions
        • Arithmetic functions
        • Combinatoric functions
        • Trigonometric functions
        • Hyperbolic functions
        • Conditional functions
        • Logical/Conditional functions
        • Custom functions
      • Distribution visualizer
      • Metalog builder
      • Operators
    • Hybrid models
    • Entering evidence in continuous nodes
    • Inference in equation-based and hybrid models
    • Viewing results in equation-based models
    • Discretization of a hybrid network
  • Geo-processing
    • Introduction
    • Map files
    • Map processing
• Resources
  • Books
  • Research papers
  • Conferences
  • Model repositories
  • Social Media
  • References