Bayesian Loss Modeling

Bayesian Loss Modeling is a statistical modeling framework within loss distribution analysis that employs Bayesian inference to estimate and update the parameters of loss severity and frequency distributions by incorporating prior knowledge and observed data.

105

Publications

5.9K

Citations

214

Authors

123

Institutions

Publications per year

2017–2026

20

Authors

214

  1. US
    Umesh Singh

    Banaras Hindu University, India

    4 publications · 119 citations

    4

    h-index

  2. HR
    Håvard Rue

    Norwegian University of Science and Technology, Norway

    3 publications · 91 citations

    3

    h-index

  3. AZ
    Arnold Zellner

    University of Chicago, United States

    3 publications · 1.1K citations

    3

    h-index

  4. AP
    Ahmad Parsian

    University of Tehran, Iran

    3 publications · 208 citations

    3

    h-index

  5. ZM
    Zhiheng Ma

    Xi'an Jiaotong University, China

    2 publications · 646 citations

    2

    h-index

1–5 of 214

Venues

  1. Communication in Statistics- Theory and Methods

    11 publications · 627 citations

    10

    h-index

  2. The Annals of Statistics

    4 publications · 114 citations

    4

    h-index

  3. Journal of Statistical Planning and Inference

    4 publications · 325 citations

    4

    h-index

  4. The Journal of Operational Risk

    3 publications · 50 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 114 citations

    3

    h-index

1–5