Compound Decision Theory

Compound Decision Theory is a statistical framework within decision theory that addresses multiple simultaneous inference problems by exploiting the empirical distribution of parameters to improve overall decision accuracy, distinguishing itself through the use of shared information across related decisions to achieve superior performance compared to treating each decision in isolation.

40

Publications

2.2K

Citations

47

Authors

27

Institutions

Publications per year

2017–2026

2

Variants

Empirical Bayes Decision Theory

Authors

47

  1. WS
    Wenguang Sun

    University of Southern California, United States

    5 publications · 810 citations

    5

    h-index

  2. ES
    Ester Samuel

    Hebrew University of Jerusalem, Israel

    5 publications · 160 citations

    5

    h-index

  3. RK
    Roger Koenker

    University of Illinois Urbana-Champaign, United States

    4 publications · 148 citations

    4

    h-index

  4. JH
    James Hannan

    Michigan State University, United States

    4 publications · 122 citations

    4

    h-index

  5. TC
    Tommaso Cai

    University of Pennsylvania, United States

    3 publications · 711 citations

    3

    h-index

1–5 of 47

Venues

  1. The Annals of Mathematical Statistics

    9 publications · 297 citations

    9

    h-index

  2. 7

    h-index

  3. The Annals of Statistics

    5 publications · 161 citations

    5

    h-index

  4. 4

    h-index

  5. Econometrica

    1 publications · 34 citations

    1

    h-index

1–5