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Bayesian Analysis with Python Cover

Bayesian Analysis with Python

A practical guide to probabilistic modeling

Paid access
|May 2024
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Table of Contents

  1. Thinking Probabilistically
  2. Programming Probabilistically
  3. Hierarchical Models
  4. Modeling with Lines
  5. Comparing Models
  6. Modeling with Bambi
  7. Mixture Models
  8. Gaussian Processes
  9. Bayesian Additive Regression Trees
  10. Inference Engines
  11. Where to Go Next
PDF ISBN: 978-1-80512-541-9
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing
Publication date: 2024
Language: English
Pages: 394