Dependence-adjusted Estimation

Dependence-Adjusted Estimation is an estimation method that accounts for local dependencies among observations by adjusting the estimation process to correct for bias or inefficiency arising from such dependencies.

28

Publications

2.5K

Citations

60

Authors

37

Institutions

Publications per year

2017–2026

2

Authors

60

  1. PB
    Prabir Burman

    University of California, Davis, United States

    3 publications · 249 citations

    3

    h-index

  2. EC
    Edmond Chow

    Georgia Institute of Technology, United States

    2 publications · 216 citations

    2

    h-index

  3. VV
    Vladimir Vapnik

    AT&T (United States), United States

    2 publications · 52 citations

    2

    h-index

  4. DN
    Deborah Nolan

    University of California, Berkeley, United States

    2 publications · 216 citations

    2

    h-index

  5. DV
    Dalibor Volný

    Université de Rouen Normandie, France

    1 publications · 35 citations

    1

    h-index

1–5 of 60

Venues

  1. Journal of Multivariate Analysis

    4 publications · 109 citations

    4

    h-index

  2. Biometrika

    3 publications · 232 citations

    3

    h-index

  3. Natural Resources Research

    NRR · 2 publications · 55 citations

    2

    h-index

  4. Statistics & Probability Letters

    2 publications · 105 citations

    2

    h-index

  5. Applied Intelligence

    2 publications · 30 citations

    2

    h-index

1–5