BayesPy – Bayesian Python
¶
Introduction
Project information
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User guide
Installation
Quick start guide
Constructing the model
Performing inference
Examining the results
Advanced topics
Examples
Multinomial distribution: bags of marbles
Linear regression
Gaussian mixture model
Bernoulli mixture model
Hidden Markov model
Principal component analysis
Linear state-space model
Latent Dirichlet allocation
Developer guide
Workflow
Variational message passing
Implementing inference engines
Implementing nodes
User API
bayespy.nodes
bayespy.inference
bayespy.plot
Developer API
Developer nodes
Moments
Distributions
Utility functions
Bibliography
Index
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