pymc-bayesian-modeling

SKILL.md

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

Modelado bayesiano con PyMC. Construir modelos jerárquicos, MCMC (NUTS), inferencia variacional, comparación LOO/WAIC, verificaciones posteriores, para programación e inferencia probabilística. Fuente: jackspace/claudeskillz.

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