<!-- Adapted from: claude-scientific-skills/scientific-skills/pymc -- PyMC Bayesian Modeling Probabilistic programming with MCMC - build and fit Bayesian models. When to Use - Bayesian regression and classification - Hierarchical/multilevel models - Uncertainty quantification - Prior/posterior predictive checks - Model comparison (LOO, WAIC) Quick Start Model Building Common Models Linear Regression Logistic Regression Hierarchical Model Sampling Diagnostics Predictive Checks Model Comparison Predictions Best Practices 1. Standardize predictors for better sampling 2. Use weakly informative pr…