Hierarchical Modeling

Jim Albert
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Jim Albert: Bowling Green state University

Chapter 7 in Bayesian Computation with R, 2009, pp 153-179 from Springer

Abstract: In this chapter, we illustrate the use of R to summarize an exchangeable hierarchical model. We begin by giving a brief introduction to hierarchical modeling. Then we consider the simultaneous estimation of the true mortality rates from heart transplants for a large number of hospitals. Some of the individual estimated mortality rates are based on limited data, and it may be desirable to combine the individual rates in some way to obtain more accurate estimates.

Keywords: Posterior Distribution; Hierarchical Modeling; Posterior Density; Precision Parameter; Inverse Gamma (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-92298-0_7

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DOI: 10.1007/978-0-387-92298-0_7

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