# Pymc Bayesian Modeler

> PyMC probabilistic programming skill for hierarchical Bayesian models in physics data analysis

- Skill: `a5c-ai/pymc-bayesian-modeler` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/pymc-bayesian-modeler`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/pymc-bayesian-modeler/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/pymc-bayesian-modeler

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# PyMC Bayesian Modeler

## Purpose

Provides expert guidance on PyMC for Bayesian modeling in physics, including hierarchical models and advanced inference methods.

## Capabilities

- Probabilistic model construction
- NUTS/HMC sampling
- Variational inference
- Gaussian processes
- Model comparison (WAIC, LOO)
- Prior predictive checks

## Usage Guidelines

1. **Model Building**: Construct probabilistic models
2. **Priors**: Specify informative or weakly informative priors
3. **Sampling**: Use NUTS for efficient sampling
4. **Diagnostics**: Check convergence with trace plots and r-hat
5. **Comparison**: Compare models with information criteria

## Tools/Libraries

- PyMC
- arviz
- Theano/JAX