Bayesian Computing in Practice

Jakub Bijak ()
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Jakub Bijak: School of Social Sciences, Centre for Population Change and S3RI, University of Southampton

Chapter Chapter 9 in Forecasting International Migration in Europe: A Bayesian View, 2011, pp 175-196 from Springer

Abstract: Abstract This chapter starts with a short survey of available software for the Bayesian analysis (Section 9.1), with the emphasis laid on high-level programming languages and free, open-source software issued under the GNU General Public License. Further, in Section 9.2, the WinBUGS environment for Bayesian analysis, applied to the analyses presented in this book, is described in more detail. In Section 9.3 an example of forecasting immigration flows using Bayesian approach, consisting of the estimation of the posterior distributions by means of the Gibbs algorithm, is demonstrated using the R environment, along with the Carlin–Chib (1995) model selection procedure (presented in Chapter 5 ). Finally, Section 9.4 offers general reflections on the advantages and limitations of particular software environments in practical applications.

Keywords: Posterior Distribution; Autocorrelation Function; Bayesian Analysis; Predictive Distribution; Model Index (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-90-481-8897-0_9

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DOI: 10.1007/978-90-481-8897-0_9

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