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

PyMC를 사용한 베이지안 모델링. 확률적 프로그래밍 및 추론을 위한 계층적 모델, MCMC(NUTS), 변형 추론, LOO/WAIC 비교, 사후 검사를 구축합니다. 출처: jackspace/claudeskillz.

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