Generalized Extreme Value Models
Generalized Extreme Value Models is a class of discrete choice models in econometrics and statistics that extends the multinomial logit framework by allowing for flexible correlation structures among alternatives through a systematic generation of choice probabilities based on the extreme value distribution.
683
Publications
38.6K
Citations
1.6K
Authors
803
Institutions
Publications per year
2017–2026
225
Variants
Gev Models
Parents
683
1–5 of 683
1.6K
Institut National de la Recherche Scientifique, Canada
9 publications · 990 citations
9
h-index
6
h-index
6
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6
h-index
Institut National de la Recherche Scientifique, Canada
6 publications · 660 citations
6
h-index
1–5 of 1.6K
803
Environment and Climate Change Canada
Ottawa, Canada
13 h-index
26 publications
2.2K citations
ETH Zurich
Zurich, Switzerland
11 h-index
20 publications
2K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
18 publications
645 citations
Princeton University
Princeton, United States
9 h-index
15 publications
2.6K citations

Institut National de la Recherche Scientifique
Québec, Canada
9 h-index
22 publications
2.4K citations
Royal Netherlands Meteorological Institute
De Bilt, The Netherlands
8 h-index
20 publications
2.4K citations

NSF National Center for Atmospheric Research
Boulder, United States
8 h-index
13 publications
1.3K citations
Colorado State University
Fort Collins, United States
8 h-index
18 publications
957 citations
1–8 of 803
30 publications · 2.9K citations
26
h-index
28 publications · 1.6K citations
22
h-index
20 publications · 1.1K citations
18
h-index
17 publications · 1.1K citations
14
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12 publications · 2.6K citations
12
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1–5