Apply best practices

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Timothy Kassis
2025-10-21 12:50:07 -07:00
parent 998a514f74
commit 000a45c0e9
80 changed files with 347 additions and 200 deletions

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@@ -7,7 +7,7 @@ description: "Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS
## Overview
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.
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).
## When to Use This Skill