name: stan-bayesian-modeling description: Stan probabilistic programming for Bayesian inference allowed-tools:

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Stan Bayesian Modeling

Purpose

Provides Stan probabilistic programming capabilities for Bayesian inference and statistical modeling.

Capabilities

• Stan model specification
• MCMC sampling (NUTS, HMC)
• Variational inference
• Prior predictive checks
• Posterior predictive checks
• Model comparison (LOO-CV, WAIC)

Usage Guidelines

1. Model Specification: Write Stan code with clear blocks
2. Prior Selection: Choose appropriate, weakly informative priors
3. Diagnostics: Check Rhat, ESS, and divergences
4. Model Comparison: Use LOO-CV for model selection

Tools/Libraries

• Stan
• CmdStan
• RStan
• PyStan