Single-Parameter Models

Jim Albert
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Jim Albert: Bowling Green state University

Chapter 3 in Bayesian Computation with R, 2009, pp 39-61 from Springer

Abstract: In this chapter, we introduce the use of R in summarizing the posterior distributions for several single-parameter models. We begin by describing Bayesian inference for a variance for a normal population and inference for a Poisson mean when informative prior information is available. For both problems, summarization of the posterior distribution is facilitated by the use of R functions to compute and simulate distributions from the exponential family.

Keywords: Posterior Probability; Posterior Distribution; Prior Distribution; Posterior Density; Probability Interval (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_3

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DOI: 10.1007/978-0-387-92298-0_3

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