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Section Navigation

  • Installation
  • Notebooks on core features
    • Introductory Overview of PyMC
    • Model comparison
    • Prior and Posterior Predictive Checks
    • Distribution Dimensionality
    • PyMC and PyTensor
    • PyMC dims module
    • GLM: Linear regression
    • Gaussian Processes
  • Books
  • Videos and Podcasts
  • Consulting
  • Glossary
  • Learn PyMC & Bayesian modeling
  • Notebooks on core features

Notebooks on core features#

Note

Looking for more examples? These are the core notebooks maintained with each PyMC release. An even larger gallery of example notebooks is available at the “Examples” tab.

  • Introductory Overview of PyMC
  • Model comparison
  • Prior and Posterior Predictive Checks
  • Distribution Dimensionality
  • PyMC and PyTensor
  • PyMC dims module
  • GLM: Linear regression
  • Gaussian Processes

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Introductory Overview of PyMC

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