IJRMHS Volume 10

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ISSN 2307-2083

 IJRMHS VOLUME 10

Title


COMPARISONS OF MARKOV CHAIN MONTE CARLO CONVERGENCE DIAGNOSTIC TESTS FOR BAYESIAN LOGISTIC RANDOM EFFECT MODELS

 

Author

Zeynep OZTURK and Mehmet Ali CENGIZ

Source International Journal of Medical and Health Sciences, Volume 10 Issue 1 (2016) Pg. 01- 13
Abstract

In mixed models, posterior densities are too difficult to work with directly. With the Markov chain Monte Carlo (MCMC) methods, to do statistical inference requires the convergence of the MCMC chain to its stationary distribution. To assess convergence of Markov has not a specific way……

Keywords MCMC; Bayesian logistic random effect models; Convergence diagnostic tests
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