A COMPARISON OF PROPER AND IMPROPER PRIOR OF BAYESIAN ANALYSIS: AN APPLICATION OF MARKOV MODEL

Authors

  • Janardan Mahanta Department of Statistics, University of Chittagong, Chittagong, Bangladesh
  • oma Chowdhury Biswas Department of Statistics, University of Chittagong, Chittagong, Bangladesh

Keywords:

Bayesian Approach for Multivariate Prior (BM), Bayesian Approach for Uniform Prior (BU), Bayesian Approach under Squared Error Loss (BSE)

Abstract

This paper focuses on the application of transitional model using Bayesian approach for analyzing longitudinal binary data. Multivariate and uniform priors have been used in Bayesian analysis to estimate the parameters of Markov model. Multivariate prior is found to give better results than uniform prior.

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References

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Published

2018-04-27

How to Cite

Mahanta , J. ., & Biswas, oma C. . (2018). A COMPARISON OF PROPER AND IMPROPER PRIOR OF BAYESIAN ANALYSIS: AN APPLICATION OF MARKOV MODEL. Journal of Reliability and Statistical Studies, 11(01), 09–20. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/20893

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