Bayesian Choice Modeling

Bayesian Choice Modeling is a statistical modeling framework within mode choice analysis that employs Bayesian inference to estimate parameter distributions by updating prior beliefs with observed behavioral data, thereby capturing uncertainty and heterogeneity in decision-making processes.

90

Publications

6.5K

Citations

207

Authors

142

Institutions

Publications per year

2017–2026

22

Authors

207

  1. PG
    Peter Goos

    University of Antwerp, Belgium

    9 publications · 368 citations

    9

    h-index

  2. MV
    Martina Vandebroek

    KU Leuven, Belgium

    7 publications · 321 citations

    7

    h-index

  3. RK
    Roselinde Kessels

    University of Antwerp, Belgium

    5 publications · 189 citations

    5

    h-index

  4. BJ
    Bradley Jones

    SAS Institute (United States), United States

    4 publications · 174 citations

    4

    h-index

  5. SA
    Samer A. Kharroubi

    American University of Beirut, Lebanon

    4 publications · 93 citations

    4

    h-index

1–5 of 207

Venues

  1. Marketing Science

    6 publications · 2K citations

    6

    h-index

  2. Journal of Marketing Research

    5 publications · 830 citations

    5

    h-index

  3. Journal of Mathematical Psychology

    4 publications · 121 citations

    4

    h-index

  4. Journal of Business and Economic Statistics

    JBES · 3 publications · 142 citations

    3

    h-index

  5. SSRN Electronic Journal

    Repository · 3 publications · 54 citations

    3

    h-index

1–5