Proxy Data Selection

Proxy Data Selection is a methodological process in which indirect, observable data are systematically chosen to serve as substitutes for direct measurements in reconstructing or representing unobserved target variables within background systems.

39

Publications

2.2K

Citations

116

Authors

89

Institutions

Publications per year

2017–2026

16

Authors

116

  1. LS
    Luke Stark

    New York University, United States

    2 publications · 178 citations

    2

    h-index

  2. KY
    Kingsley Y. L. Fong

    UNSW Sydney, Australia

    2 publications · 534 citations

    2

    h-index

  3. JH
    Jesse Hoey

    University of Waterloo, Canada

    2 publications · 178 citations

    2

    h-index

  4. CT
    Charles Trzcinka

    Indiana University, United States

    2 publications · 534 citations

    2

    h-index

  5. CW
    Craig W. Holden

    Indiana University, United States

    2 publications · 534 citations

    2

    h-index

1–5 of 116

Venues

  1. Quaternary Science Reviews

    2 publications · 48 citations

    2

    h-index

  2. Quaternary International

    2 publications · 58 citations

    2

    h-index

  3. The Review of Economics and Statistics

    1 publications · 56 citations

    1

    h-index

  4. Bulletin of the American Meteorological Society

    BAMS · 1 publications · 41 citations

    1

    h-index

  5. Journal of Space Weather and Space Climate

    SWSC · 1 publications · 63 citations

    1

    h-index

1–5