inference-tools
stable
Contents:
Getting started
Markov-chain Monte-Carlo sampling
Constructing Likelihoods, Priors and Posteriors
Density estimation and sample analysis
Gaussian process regression, optimisation and inversion
Approximate inference
Plotting and visualisation of inference results
inference-tools
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v: stable
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