A SAS Macro for Automated Stopping of Markov Chain Monte Carlo Estimation in Bayesian Modeling with PROC MCMC

A SAS Macro for Automated Stopping of Markov Chain Monte Carlo Estimation in Bayesian Modeling with PROC MCMC

A crucial challenge in Bayesian modeling using Markov chain Monte Carlo (MCMC) estimation is to diagnose the convergence of the chains so that the draws can be expected to closely approximate the posterior distribution on which inference is based. A close approximation guarantees that the MCMC error...

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Bibliographic Details
Main Authors: Wolfgang Wagner, Martin Hecht, Steffen Zitzmann
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Psych
Subjects:
Bayesian statistics
Markov chain Monte Carlo
SAS
PROC MCMC
Online Access:https://www.mdpi.com/2624-8611/5/3/63

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