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Focusing on practical applications, this book guides readers in implementing Bayesian methods using Stata, particularly through Markov chain Monte Carlo (MCMC) techniques. It combines Stata's data management and visualization strengths with the computational power of OpenBUGS and WinBUGS. Key topics include selecting appropriate priors, ensuring computational efficiency, assessing convergence, evaluating models, and effectively presenting results. This resource is ideal for those looking to enhance their data analysis skills from a Bayesian perspective.
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Bayesian Analysis with Stata, John Thompson
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- 2014
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