stan-bayesian-modeling

# 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