Bayesian Valuation Models

Bayesian Valuation Models is a valuation framework that employs Bayesian inference to update bidder value estimates based on prior beliefs and observed evidence, distinguishing itself from classical models by formally incorporating uncertainty and learning in iterative bidding environments.

90

Publications

3.7K

Citations

195

Authors

139

Institutions

Publications per year

2017–2026

14

Authors

195

  1. PE
    Peter E. Rossi

    University of Chicago, United States

    4 publications · 264 citations

    4

    h-index

  2. AK
    Atsuyuki Kogure

    Keio University Shonan Fujisawa, Japan

    3 publications · 127 citations

    3

    h-index

  3. CJ
    Carmelo J. León

    Universidad de Las Palmas de Gran Canaria, Spain

    3 publications · 63 citations

    3

    h-index

  4. FJ
    Francisco José Vázquez Polo

    Universidad de Las Palmas de Gran Canaria, Spain

    2 publications · 49 citations

    2

    h-index

  5. RM
    Robert McCulloch

    University of Stirling, United Kingdom

    2 publications · 159 citations

    2

    h-index

1–5 of 195

Venues

  1. Journal of Applied Econometrics

    4 publications · 152 citations

    4

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 122 citations

    4

    h-index

  3. Journal of Econometrics

    3 publications · 256 citations

    3

    h-index

  4. Real Estate Economics

    3 publications · 103 citations

    3

    h-index

  5. Management Science

    3 publications · 105 citations

    3

    h-index

1–5