BayesPy
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  • Introduction
  • User guide
    • Installation
    • Quick start guide
    • Constructing the model
    • Performing inference
    • Examining the results
    • Advanced topics
  • Examples
  • Developer guide
  • User API
  • Developer API
BayesPy
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User guideΒΆ

  • Installation
    • Installing BayesPy
      • For users
      • For developers
      • Checking installation
    • Installing requirements
    • Compiling documentation
  • Quick start guide
    • Constructing the model
    • Performing inference
    • Examining posterior approximation
  • Constructing the model
    • Creating nodes
      • Conjugacy of the parents
      • Independence of the parents
    • Effects of the nodes on inference
      • Prior probability distribution
      • Posterior factorization
      • Functional form of the posterior
    • Using plate notation
      • Defining plates
      • Sharing and broadcasting plates
      • Plates in deterministic nodes
      • Plates in constants
      • Factorization of plates
      • Irregular plates
    • Example model: Principal component analysis
  • Performing inference
    • Observing nodes
      • Missing values
    • Choosing the inference method
    • Initializing the posterior approximation
    • Running the inference algorithm
      • Parameter expansion
  • Examining the results
    • Plotting the results
    • Monitoring during the inference algorithm
    • Posterior parameters and moments
    • Saving and loading results
  • Advanced topics
    • Gradient-based optimization
    • Collapsed inference
    • Pattern search
    • Deterministic annealing
    • Stochastic variational inference
    • Black-box variational inference
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