pymc-bayesian-modeling

PyMC is a Python library for Bayesian modeling and probabilistic programming. Build, fit, validate, and compare Bayesian models using PyMC's modern API (version 5.x+), including hierarchical models, MCMC sampling (NUTS), variational inference, and model comparison (LOO, WAIC).

Critical: Always use non-centered parameterization for hierarchical models to avoid divergences.

See: references/distributions.md for comprehensive distribution reference

النمذجة البايزية باستخدام PyMC بناء نماذج هرمية، MCMC (NUTS)، الاستدلال المتغير، مقارنة LOO/WAIC، الفحوصات اللاحقة، للبرمجة الاحتمالية والاستدلال. المصدر: ovachiever/droid-tings.