inference-tools

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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© Copyright 2019, Chris Bowman.

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