Exact Sufficient Statistics
Exact Sufficient Statistics is a statistical function of categorical data that belongs to the class of sufficient statistics and is distinguished by its ability to capture all relevant information about the model parameters without relying on asymptotic approximations, thereby enabling exact inference through discrete probability distributions.
79
Publications
5.8K
Citations
122
Authors
85
Institutions
Publications per year
2017–2026
6
79
A Survey of Exact Inference for Contingency Tables
Alan Agresti · Statistical Science · 1992 · 1.1K citations · Full text
Exact logistic regression: Theory and examples
Cyrus R. Mehta, Nitin R. Patel · Statistics in Medicine · 1995 · 480 citations
Sufficient Statistics and Latent Trait Models
Erling B. Andersen · Psychometrika · 1977 · 402 citations
Estimating and understanding exponential random graph models
The Annals of Statistics · 2013 · 231 citations · Full text
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Harvard University
Cambridge, United States
5 h-index
9 publications
1.1K citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
4 publications
158 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
5 publications
205 citations
Applied Biomathematics (United States)
Setauket-East Setauket, United States
3 h-index
3 publications
195 citations
Dana-Farber Cancer Institute
Boston, United States
3 h-index
4 publications
249 citations
Cytel (United States)
Cambridge, United States
3 h-index
5 publications
740 citations

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
57 citations
Iowa State University
Ames, United States
2 h-index
6 publications
297 citations
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8 publications · 273 citations
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5 publications · 125 citations
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4 publications · 452 citations
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JCGS · 3 publications · 193 citations
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3 publications · 72 citations
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