Frequentist Risk Estimation

Frequentist Risk Estimation is a statistical inference framework that quantifies risk by evaluating the long-run frequency properties of estimators under repeated sampling, distinguishing itself from Bayesian approaches by relying solely on observed data without incorporating prior distributions.

37

Publications

2.1K

Citations

87

Authors

67

Institutions

Publications per year

2017–2026

10

Authors

87

  1. AZ
    Ahmed Z. Afify

    Benha University, Egypt

    3 publications · 98 citations

    3

    h-index

  2. DS
    Dongchu Sun

    University of Missouri, United States

    2 publications · 112 citations

    2

    h-index

  3. JO
    James O. Berger

    Purdue University West Lafayette, United States

    2 publications · 329 citations

    2

    h-index

  4. MN
    Mazen Nassar

    Zagazig University, Egypt

    2 publications · 60 citations

    2

    h-index

  5. MT
    Martin T. Wells

    Cornell University, United States

    2 publications · 31 citations

    2

    h-index

1–5 of 87

Venues

  1. The Annals of Statistics

    3 publications · 408 citations

    3

    h-index

  2. Statistics in Medicine

    2 publications · 50 citations

    2

    h-index

  3. Journal of Applied Statistics

    2 publications · 48 citations

    2

    h-index

  4. European Journal of Operational Research

    1 publications · 19 citations

    1

    h-index

  5. 1

    h-index

1–5