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Algorithms for Bayesian Computing and Mathematica

  • James H. Albert
Conference paper

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 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag New York, Inc. 1992

Authors and Affiliations

  • James H. Albert
    • 1
  1. 1.Department of Mathematics and StatisticsBowling Green State UniversityBowling GreenUSA

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