Multivariate Count Models
Multivariate Count Models is a statistical modeling framework that extends univariate count models by simultaneously analyzing multiple correlated count outcomes, accounting for interdependencies among them through joint distribution specifications.
155
Publications
8.9K
Citations
385
Authors
249
Institutions
Publications per year
2017–2026
42
Parents
155
The Analysis of Multidimensional Contingency Tables
Stephen E. Fienberg · Ecology · 1970 · 350 citations
The multivariate Poisson-log normal distribution
J. M. AITCHISON, Chih-Hsiang Ho · Biometrika · 1989 · 345 citations
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249
The University of Texas at Austin
Austin, United States
6 h-index
14 publications
1.6K citations
IZA - Institute of Labor Economics
Bonn, Germany
5 h-index
6 publications
646 citations
University of Missouri
Columbia, United States
4 h-index
5 publications
145 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
5 publications
72 citations
Arizona State University
Tempe, United States
4 h-index
7 publications
133 citations
Indiana University Bloomington
Bloomington, United States
4 h-index
7 publications
736 citations
RWI – Leibniz Institute for Economic Research
Essen, Germany
4 h-index
9 publications
561 citations

Washington University in St. Louis
St Louis, United States
3 h-index
4 publications
368 citations
1–8 of 249
Repository · 8 publications · 151 citations
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TRR · 6 publications · 726 citations
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5 publications · 510 citations
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4 publications · 98 citations
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4 publications · 93 citations
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