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 - RSt…