Representative Proxy Models

Representative Proxy Models is a methodological framework in vote allocation that uses statistically derived proxies to approximate the preferences of unobserved or aggregated voters, distinguished by its reliance on representative indicators to ensure fidelity to underlying electoral or decision-making structures.

11

Publications

322

Citations

34

Authors

16

Institutions

Publications per year

2017–2026

6

Authors

34

  1. JL
    Jungmin Lee

    Seoul National University, South Korea

    1 publications · 15 citations

    1

    h-index

  2. PE
    Paige E. Goodwin

    Western Illinois University, United States

    1 publications · 11 citations

    1

    h-index

  3. DO
    Daniel O. Schulte

    Technische Universität Darmstadt, Germany

    1 publications · 53 citations

    1

    h-index

  4. ZM
    Zhiwei Ma

    University of Alberta, Canada

    1 publications · 39 citations

    1

    h-index

  5. DL
    Donald L. Woodraska

    Laboratory for Atmospheric and Space Physics, United States

    1 publications · 93 citations

    1

    h-index

1–5 of 34

Venues

  1. Journal of Petroleum Science and Engineering

    3 publications · 86 citations

    3

    h-index

  2. Geothermics

    2 publications · 70 citations

    2

    h-index

  3. Earth and Space Science

    1 publications · 93 citations

    1

    h-index

  4. Aging & Mental Health

    1 publications · 11 citations

    1

    h-index

  5. Journal of Information Systems and Technology Management

    JISTEM · 1 publications · 13 citations

    1

    h-index

1–5