Mixture Prior Estimation
Mixture Prior Estimation is a statistical method in empirical Bayes analysis that belongs to the class of prior estimation techniques and is distinguished by its use of a finite or infinite mixture distribution to model the prior, allowing for greater flexibility in capturing heterogeneity and multimodality in the underlying parameter space.
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3.8K
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172
Authors
90
Institutions
Publications per year
2017–2026
9
Parents
73
APPROACHES FOR BAYESIAN VARIABLE SELECTION
Edward I. George, Robert E. McCulloch · 1997 · 1.2K citations
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University of Chicago
Chicago, United States
4 h-index
4 publications
1.2K citations
Texas A&M University
College Station, United States
3 h-index
4 publications
62 citations
University of Florida
Gainesville, United States
3 h-index
3 publications
133 citations
The University of Texas at Austin
Austin, United States
3 h-index
5 publications
1.3K citations
The University of Texas MD Anderson Cancer Center
Houston, United States
2 h-index
3 publications
87 citations

Queensland University of Technology
Brisbane, Australia
2 h-index
3 publications
68 citations

The University of Queensland
Brisbane, Australia
2 h-index
5 publications
597 citations
Duke University
Durham, United States
2 h-index
2 publications
39 citations
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5 publications · 203 citations
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4 publications · 340 citations
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3 publications · 129 citations
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2 publications · 47 citations
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2 publications · 35 citations
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