PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.
x ~ N(0,1)translates to
x = Normal('x',0,1)
To install PyMC on your system, follow the instructions on the installation guide.
Please choose from the following:
We are using discourse.pymc.io as our main communication channel.
You can also follow us on these social media platforms for updates and other announcements:
To report an issue with PyMC please use the issue tracker.
Finally, if you need to get in touch for non-technical information about the project, send us an e-mail.
Please contact us if your software is not listed here.
See Google Scholar for a continuously updated list.
PyMC is a non-profit project under NumFOCUS umbrella. If you want to support PyMC financially, you can donate here.
You can get professional consulting support from PyMC Labs.