User guide

• 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