# Bayesian Modeling

> Bayesian and statistical modeling workflows with PyMC, diagnostics, simulation, and model reporting.

- Skill: `yuukias/bayesian-modeling` (Agent Skill, multi-file: 21 files)
- Install (CLI): `npx skillmds@latest add yuukias/bayesian-modeling`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yuukias/bayesian-modeling/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: YuukiAS (https://skillmd.com/u/yuukias)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/yuukias/bayesian-modeling

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# bayesian-modeling

## Trigger Boundary

Bayesian and statistical modeling workflows with PyMC, diagnostics, simulation, and model reporting.

Use this aggregate Codex App skill when the task matches one of the source workflows below.

## Source Workflows

- `bayesian-ppl-diagnostics`: Executable guidance for Bayesian workflows using Stan/CmdStanPy, brms, PyMC, and ArviZ, with legacy JAGS/OpenBUGS paths and Rcpp acceleration patterns. Reference: `_src/diag/source.md`
- `pymc`: Bayesian modeling with PyMC: model specification, priors, NUTS/VI fitting, diagnostics, posterior predictive checks, LOO/WAIC comparison, prediction, and code review. Reference: `_src/pymc/source.md`
- `statsmodels`: Implement and review statsmodels analyses: OLS/GLM/mixed models, time series, robust covariance, diagnostics, coefficient tables, and reproducible inference workflows. Reference: `_src/stats/source.md`
- `statistical-analysis`: Plan and report statistical analyses: estimand framing, test/model choice, assumption checks, power/sensitivity notes, effect sizes, uncertainty, and reproducible reporting. Reference: `_src/analysis/source.md`
- `simpy`: Build and validate process-based discrete-event simulations in Python with SimPy: entities, resources, queues, event timing, replications, sensitivity analysis, and reporting. Reference: `_src/sim/source.md`

## Workflow

1. Choose the source workflow whose trigger boundary best matches the user request.
2. Read that source workflow's `source.md` before acting.
3. Load only the needed files under that workflow's copied references, scripts, assets, or evals.
4. Follow the source workflow unless the current project gives stricter instructions.