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The American Statistician Volume 49, 1995 - Issue 1
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Statistical Practice

Bayesian Statistics Using Mathematica

Peyton Cook Department of Mathematical and Computer Sciences, University of Tulsa, Tulsa, OK, 74104, USA
&
Lyle D. Broemeling Department of Biometry, UT—Houston School of Public Health, University of Texas at EI Paso, EI Paso, TX, 79968, USA
Pages 70-76 | Received 01 Jan 1994, Published online: 27 Feb 2012

References

  • Albert , J. 1993 . “Teaching Bayesian Statistics Using Sampling Methods and MINITAB” . The American Statistician , 47 : 182 – 191 .
  • Berger , J. 1985 . Statistical Decision Theory and Bayesian Analysis, , 2nd ed. , New York : Springer-Verlag .
  • Box , G. E. P. and Jenkins , G. 1976 . Times Series Analysis: Forecasting and Control, , revised ed. , San Francisco : Holden-Day .
  • Box , G. E. P. and Tiao , G. C. 1973 . Bayesian Inference in Statistical Analysis , Redwood City , CA : Addison-Wesley .
  • Broemeling , L. D. and Cook , P. 1993 . “Bayesian Estimation of the Mean of an Autoregressive Process” . The Journal of Applied Statistics , 20 : 25 – 39 .
  • Gelfand , A. E. and Smith , A. F. M. 1992 . “Bayesian Statistics Without Tears: A Sampling-Resampling Perspective” . The American Statistician , 46 : 84 – 88 .
  • Oh , M. and Berger , J. 1993 . “Integration of Multimodal Functions by Monte Carlo Importance Sampling” . Journal of the American Statistical Association , 88 : 450 – 456 .
  • Wolfram , S. 1991 . Mathematica: A System for Doing Mathematics by Computer, , 2nd ed. , Redwood City , CA : Addison-Wesley .
  • Zellner , A. 1971 . An Introduction to Bayesian Inference in Econometrics , New York : John Wiley .

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