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

Authors

385

  1. CR
    Chandra R. Bhat

    The University of Texas at Austin, United States

    5 publications · 256 citations

    5

    h-index

  2. UB
    Ulf Böckenholt

    University of Illinois Urbana-Champaign, United States

    4 publications · 107 citations

    4

    h-index

  3. DK
    Dimitris Karlis

    Athens University of Economics and Business, Greece

    4 publications · 163 citations

    4

    h-index

  4. TB
    Thomas Bauer

    RWI – Leibniz Institute for Economic Research, Germany

    4 publications · 212 citations

    4

    h-index

  5. PK
    Pravin K. Trivedi

    Indiana University Bloomington, United States

    3 publications · 299 citations

    3

    h-index

1–5 of 385

Venues

  1. SSRN Electronic Journal

    Repository · 8 publications · 151 citations

    8

    h-index

  2. 6

    h-index

  3. Analytic Methods in Accident Research

    5 publications · 510 citations

    5

    h-index

  4. Statistics in Medicine

    4 publications · 98 citations

    4

    h-index

  5. Journal of Applied Statistics

    4 publications · 93 citations

    4

    h-index

1–5