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

Authors

1.6K

  1. TB
    Taha B. M. J. Ouarda

    Institut National de la Recherche Scientifique, Canada

    9 publications · 990 citations

    9

    h-index

  2. HW
    Henning W. Rust

    Freie Universität Berlin, Germany

    6 publications · 198 citations

    6

    h-index

  3. XZ
    Xuebin Zhang

    Environment and Climate Change Canada, Canada

    6 publications · 1.2K citations

    6

    h-index

  4. CD
    Carlo De Michele

    Politecnico di Milano, Italy

    6 publications · 1K citations

    6

    h-index

  5. SE
    Salah‐Eddine El Adlouni

    Institut National de la Recherche Scientifique, Canada

    6 publications · 660 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. Water Resources Research

    30 publications · 2.9K citations

    26

    h-index

  2. International Journal of Climatology

    28 publications · 1.6K citations

    22

    h-index

  3. Hydrological Sciences Journal

    20 publications · 1.1K citations

    18

    h-index

  4. Journal of Hydrologic Engineering

    17 publications · 1.1K citations

    14

    h-index

  5. Technometrics

    12 publications · 2.6K citations

    12

    h-index

1–5