Variable Selection Via Gibbs Sampling

@inproceedings{George2007VariableSV,
  title={Variable Selection Via Gibbs Sampling},
  author={Edward I. George and Robert E. McCulloch},
  year={2007}
}
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. 
Highly Influential
This paper has highly influenced 100 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 675 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 16 references

Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling,

  • A. E. Gelfand, S. E. Hills, A Racine-Poon, A.F.M. Smith
  • 1990

Bayesian Variable Selection in Linear Regression" (with discussion)

  • J J.
  • 1988

Comment on " The Calculation of Posterior Distributions by Data Augmentation " by M . A . Tanner and

  • C. N. Morris
  • 1987

Comment on "The Calculation of Posterior Distributions by Data Augmentation

  • C. N. Morris
  • Journal o f the American Statistical Association,
  • 1987

The Calculation of Posterior

  • Tanner, A M., W. H. Wong
  • The Statistician,
  • 1987

Bayesian Hypothesis Testing in Linear Models With Continuously Induced Conjugate Priors Across Hypotheses

  • D. J. Poirier
  • 1985

Bayesian Hypothesis Testing in Linear Models With Continuously Induced Conjugate Priors Across Hypotheses," in Bajlesian Statistics

  • Poirier, J D.
  • New York: Elsevier,
  • 1985

An Alternative to the Standard Bayesian Procedure for Discrimination Between Normal Linear Models,

  • L. R. Pericchi
  • 1984

Similar Papers

Loading similar papers…