Bayesian Polya Tree Models is a Bayesian nonparametric model for probability density estimation that uses a recursive partitioning of the sample space into nested subsets, assigning random probabilities through a tree-structured prior distribution to flexibly approximate unknown distributions while maintaining conjugacy and supporting uncertainty quantification.
14
Publications
664
Citations
26
Authors
22
Institutions
Publications per year
2017–2026
1
Publications
14
Optional Pólya tree and Bayesian inference
The Annals of Statistics · 2010 · 54 citations · Full text
1–5 of 14
Authors
26
- SG
3
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- TH
3
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- DH
1
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- LH
1
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- ML
1
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1–5 of 26
Institutions
22
Portland State University
Portland, United States
1 h-index
2 publications
30 citations
U.S. National Science Foundation
Alexandria, United States
1 h-index
2 publications
272 citations
Arcadia
Alexandria, United States
1 h-index
1 publications
21 citations
University of Thessaly
Volos, Greece
1 h-index
1 publications
21 citations
University of Bath
Bath, United Kingdom
1 h-index
1 publications
106 citations
Decision Sciences (United States)
Fort Walton Beach, United States
1 h-index
2 publications
272 citations
University of Oslo
Oslo, Norway
1 h-index
1 publications
106 citations
University of Technology Sydney
Sydney, Australia
1 h-index
3 publications
78 citations
1–8 of 22
Venues
- The Annals of Statistics
2 publications · 205 citations
2
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- Statistical Modelling
1 publications · 26 citations
1
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- Biometrical Journal
1 publications · 21 citations
1
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- Journal of Applied Mathematics and Decision Sciences
JAMDS · 1 publications · 15 citations
1
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
1 publications · 106 citations
1
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1–5