Threshold-based Decision Rules

Threshold-Based Decision Rules is a decision-making framework that specifies choices or actions based on whether key variables or metrics exceed or meet predetermined thresholds, distinguishing it from other decision rules by its reliance on explicit, often quantifiable, boundary conditions to trigger decisions.

41

Publications

1.9K

Citations

142

Authors

81

Institutions

Publications per year

2017–2026

17

Authors

142

  1. JM
    Jeremy M. Weinstein

    Stanford University, United States

    2 publications · 71 citations

    2

    h-index

  2. DH
    Dominik Hangartner

    London School of Economics and Political Science, United Kingdom

    2 publications · 71 citations

    2

    h-index

  3. AA
    Ala’ Alrababa’h

    Stanford University, United States

    2 publications · 71 citations

    2

    h-index

  4. DM
    Daniel Masterson

    Stanford University, United States

    2 publications · 71 citations

    2

    h-index

  5. MC
    Marine Casalis

    ETH Zurich, Switzerland

    2 publications · 71 citations

    2

    h-index

1–5 of 142

Venues

  1. 2

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  2. SSRN Electronic Journal

    Repository · 2 publications · 25 citations

    2

    h-index

  3. Medical Decision Making

    MDM · 2 publications · 62 citations

    2

    h-index

  4. IEEE Signal Processing Letters

    2 publications · 58 citations

    2

    h-index

  5. Omega

    1 publications · 119 citations

    1

    h-index

1–5