Description
Bayesian hierarchical models can be estimated with Markov Chain Monte Carlo simulation. It helps statisticians, researchers, and students analyze probabilistic models from scripts and statistical workflows.
MCMC results depend on model design, priors, convergence, and diagnostics. Validate chains and assumptions before using estimates for scientific, financial, or policy decisions.