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New in Stata 19: Bayesian variable selection for linear regression
New in Stata 19: Bayesian quantile regression with asymmetric Laplace distribution
New in Stata 17: Bayesian dynamic forecasting
New in Stata 14: Bayesian analysis
New in Stata 17: Bayesian panel-data models
New in Stata 17: Bayesian multilevel modeling
Introduction to Bayesian statistics, part 1: The basic concepts
New in Stata 18: Bayesian model averaging
New in Stata 19: Bayesian bootstrap
New in Stata 15: A prefix for Bayesian regression
New in Stata 17: Bayesian impulse–response functions and forecast error-variance decompositions
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Last Updated: September 30, 2026
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Summary
In this video clip, Robert Grant explains the two algorithms used inside Hear from Robert Grant about three ways to fit Learn about the new features in Find out how to include random effects in your *bayesmh* model specifications to fit multilevel models in An introduction to the concepts of Use the new *bayesboot* prefix to perform