Multiparameter Models

Jim Albert
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Jim Albert: Bowling Green state University

Chapter 4 in Bayesian Computation with R, 2009, pp 63-86 from Springer

Abstract: In this chapter, we describe the use of R to summarize Bayesian models with several unknown parameters. In learning about parameters of a normal population or multinomial parameters, posterior inference is accomplished by simulating from distributions of standard forms.

Keywords: Posterior Distribution; Posterior Density; Interval Estimate; Simulated Sample; Dirichlet Distribution (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_4

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DOI: 10.1007/978-0-387-92298-0_4

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