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Algorithms for Bayesian Computing and Mathematica

In: Computing Science and Statistics

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  • James H. Albert

    (Bowling Green State University, Department of Mathematics and Statistics)

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.

Suggested Citation

  • James H. Albert, 1992. "Algorithms for Bayesian Computing and Mathematica," Springer Books, in: Connie Page & Raoul LePage (ed.), Computing Science and Statistics, pages 286-290, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-2856-1_37
    DOI: 10.1007/978-1-4612-2856-1_37
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