Usages of MCMC Samples from Posterior and Predictive Distributions

Kentaro Matsuura
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Kentaro Matsuura: HOXO-M Inc.

Chapter Chapter 13 in Bayesian Statistical Modeling with Stan, R, and Python, 2022, pp 331-344 from Springer

Abstract: Abstract We have discussed various statistical models and their implementation so far. However, the ways we used the MCMC samples from the posterior distributions and predictive distributions were only kept on very basic levels, such as computing the intervals and visualizations. In this chapter, we will introduce more advanced usages of the MCMC sample. They would be helpful in practice because it is very common to encounter the situation where we need to extract more information from the MCMC sample.

Date: 2022
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DOI: 10.1007/978-981-19-4755-1_13

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