Bayesian Nonparametric Variable Selection
Bayesian Nonparametric Variable Selection is a statistical framework that integrates Bayesian nonparametric methods with variable selection procedures, enabling flexible modeling of covariate inclusion probabilities without prespecifying the number of relevant predictors.
13
Publications
1.4K
Citations
37
Authors
26
Institutions
Publications per year
2017–2026
3
13
1–5 of 13
37
2
h-index
The University of Texas MD Anderson Cancer Center, United States
2 publications · 100 citations
2
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2
h-index
The University of Texas MD Anderson Cancer Center, United States
2 publications · 100 citations
2
h-index
Universidade Federal do Rio Grande do Sul, Brazil
1 publications · 128 citations
1
h-index
1–5 of 37
26
The University of Texas MD Anderson Cancer Center
Houston, United States
2 h-index
6 publications
294 citations

Rice University
Houston, United States
2 h-index
6 publications
294 citations
North Carolina State University
Raleigh, United States
2 h-index
4 publications
318 citations
Emory University
Atlanta, United States
2 h-index
2 publications
302 citations
Statistical Research (United States)
Redlands, United States
1 h-index
3 publications
60 citations

McGill University
Montreal, Canada
1 h-index
2 publications
56 citations
University of Chicago
Chicago, United States
1 h-index
2 publications
554 citations

Lurie Children's Hospital
Chicago, United States
1 h-index
1 publications
277 citations
1–8 of 26
1 publications · 128 citations
1
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1 publications · 20 citations
1
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1 publications · 25 citations
1
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1 publications · 277 citations
1
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AOAS · 1 publications · 47 citations
1
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1–5