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Stata 16 offers extensive additions to Stata's Bayesian suite of commands, which include
In addition, bayes: and bayesmh support new priors pareto(), dirichlet(), and geometric() for specifying, respectively, Pareto, multivariate beta (Dirichlet), and geometric prior distributions. Pareto is a power-law-based distribution. Dirichlet can be used for specifying priors for probability vector parameters. Geometric priors are suitable for modeling count parameters.
Last but not least is that bayes: with multilevel models such as bayes: mixed now runs faster!
Learn about Bayesian lasso modeling and How to run multiple chains in parallel.
Learn more about Stata's Bayesian analysis features.
Read more about Bayesian analysis in the Stata Bayesian Analysis Reference Manual.
