Exact Inference Under Sparse Data
Exact Inference Under Sparse Data is a statistical methodology for performing rigorous hypothesis testing and confidence interval estimation in categorical data analysis when sample sizes are too small or the data exhibit excessive zeros, such that asymptotic assumptions fail and exact computation of permutation or conditional distributions becomes necessary.
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3.8K
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132
Authors
71
Institutions
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2017–2026
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Density Estimation Using Real NVP
Laurent Dinh · arXiv (Cornell University) · 2016 · 793 citations · Full text
Learning latent temporal structure for complex event detection
Kevin Tang, Li Fei-Fei, Daphne Koller · 2012 · 374 citations
The Recurrent Temporal Restricted Boltzmann Machine
Ilya Sutskever, Geoffrey E. Hinton, Graham W. Taylor · 2008 · 373 citations
Factorial models and refiltering for speech separation and denoising
Sam T. Roweis · 2003 · 173 citations
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University of Cambridge
Cambridge, United Kingdom
3 h-index
5 publications
145 citations
Hebrew University of Jerusalem
Jerusalem, Israel
2 h-index
4 publications
282 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
108 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
138 citations
Stanford University
Stanford, United States
2 h-index
5 publications
1.2K citations
Applied Biomathematics (United States)
Setauket-East Setauket, United States
2 h-index
2 publications
164 citations
California Southern University
Chandler, United States
1 h-index
2 publications
322 citations

Imperial College London
London, United Kingdom
1 h-index
1 publications
15 citations
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Repository · 7 publications · 894 citations
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3 publications · 122 citations
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2 publications · 134 citations
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1 publications · 71 citations
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CSDA · 1 publications · 20 citations
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