Polya-gamma Data Augmentation
Polya-Gamma Data Augmentation is a Bayesian computational method that belongs to the class of data augmentation techniques, distinguished by its use of latent variables drawn from the Polya-Gamma distribution to enable conjugate updating in logistic and related generalized linear models, thereby facilitating efficient Gibbs sampling for posterior inference.
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95
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2017–2026
22
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Pólya-gamma Data Augmentation
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Data augmentation: A comprehensive survey of modern approaches
Alhassan Mumuni, Fuseini Mumuni · Array · 2022 · 800 citations · Full text
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The University of Texas at Austin
Austin, United States
4 h-index
5 publications
189 citations
Columbia University
New York, United States
3 h-index
4 publications
153 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
4 publications
210 citations
Princeton University
Princeton, United States
2 h-index
3 publications
41 citations
Stony Brook University
Stony Brook, United States
2 h-index
6 publications
159 citations
Duke University
Durham, United States
2 h-index
5 publications
142 citations

Swiss Ornithological Institute
Sempach, Switzerland
1 h-index
1 publications
174 citations
Booth University College
Winnipeg, Canada
1 h-index
1 publications
10 citations
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Repository · 9 publications · 211 citations
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Conference · 3 publications · 101 citations
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AOAS · 2 publications · 70 citations
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2 publications · 120 citations
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2 publications · 44 citations
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