Algorithms for Bayesian Computing and Mathematica

James H. Albert
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James H. Albert: Bowling Green State University, Department of Mathematics and Statistics

A chapter in Computing Science and Statistics, 1992, pp 286-290 from Springer

Abstract: Abstract One approach to developing a general-purpose Bayesian computing system is to add a package of Bayesian commands to a mathematics/statistics program. Due to its symbolic algebra system, the program Mathematica appears very suitable for the implementation of the Laplace method. The use of a Laplace Bayesian package is illustrated.

Keywords: Posterior Distribution; Marginal Density; Laplace Approximation; Monte Carlo Integration; Mathematica Package (search for similar items in EconPapers)
Date: 1992
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DOI: 10.1007/978-1-4612-2856-1_37

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