Skip to main content
Local search
PyMC dev documentation - Home PyMC dev documentation - Home
dev
  • Home
  • Examples
  • Learn
  • API
  • Community
  • Contributing
  • GitHub
  • Mastodon
  • Twitter
  • YouTube
  • Discourse
  • Home
  • Examples
  • Learn
  • API
  • Community
  • Contributing
  • GitHub
  • Mastodon
  • Twitter
  • YouTube
  • Discourse

Section Navigation

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

Consulting#


If you need professional help with your PyMC model, PyMC Labs is a Bayesian consultancy consisting of members of the PyMC core development team. Work we typically do includes:

  • Model speed-ups (reparameterizations, JAX, GPU sampling)

  • Improving models (adding hierarchy, time-series structure etc)

  • Building new models to solve applied business problems

  • Bayesian Media Mix Models for marketing attribution

Interested? Send us an email at info@pymc-labs.io.

previous

Videos and Podcasts

next

Glossary

Edit on GitHub
Show Source
Support PyMC

© Copyright 2020-present, The PyMC Development Team.

Created using Sphinx 8.2.3.

Built with the PyData Sphinx Theme 0.16.0.