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## Overview
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PyMC is a Python library for Bayesian modeling and probabilistic programming. This skill provides comprehensive guidance for building, fitting, validating, and comparing Bayesian models using PyMC's modern API (version 5.x+). It includes workflows for common model types, diagnostic procedures, and best practices for Bayesian inference.
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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).
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## When to Use This Skill
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