Bayesian Demand Estimation

Bayesian Demand Estimation is a demand estimation method that integrates prior beliefs and observed data within a probabilistic framework to update demand parameter distributions using Bayes' theorem.

72

Publications

3.5K

Citations

160

Authors

95

Institutions

Publications per year

2017–2026

14

Authors

160

  1. ST
    Steven T. Yen

    University of Tennessee at Knoxville, United States

    4 publications · 198 citations

    4

    h-index

  2. AL
    Alan L. Montgomery

    Carnegie Mellon University, United States

    2 publications · 105 citations

    2

    h-index

  3. WR
    Wesley R. Hartmann

    Stanford University, United States

    2 publications · 123 citations

    2

    h-index

  4. JA
    James A. Chalfant

    University of California, Davis, United States

    2 publications · 123 citations

    2

    h-index

  5. ET
    Eric T. Bradlow

    University of Pennsylvania, United States

    2 publications · 71 citations

    2

    h-index

1–5 of 160

Venues

  1. Journal of Business and Economic Statistics

    JBES · 6 publications · 326 citations

    6

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 52 citations

    4

    h-index

  3. American Journal of Agricultural Economics

    3 publications · 155 citations

    3

    h-index

  4. Marketing Science

    3 publications · 205 citations

    3

    h-index

  5. Operations Research

    3 publications · 297 citations

    3

    h-index

1–5