Multivariate Statistical Reconstruction

Multivariate Statistical Reconstruction is a paleoclimatic reconstruction method that employs multivariate statistical techniques to infer past climate variables from multiple proxy records simultaneously, distinguishing itself by modeling the complex interrelationships between proxies and climate parameters.

34

Publications

1.9K

Citations

127

Authors

80

Institutions

Publications per year

2017–2026

8

Authors

127

  1. FJ
    Freek J. Beekman

    University Medical Center Utrecht, Netherlands

    2 publications · 156 citations

    2

    h-index

  2. HH
    Harold Hudson

    Macquarie University, Australia

    2 publications · 156 citations

    2

    h-index

  3. RM
    Richard Madgwick

    Cardiff University, United Kingdom

    1 publications · 35 citations

    1

    h-index

  4. MM
    M. Mouhaimouni

    Direction de la Météorologie Nationale du Niger, Niger

    1 publications · 11 citations

    1

    h-index

  5. BF
    Brian F. Hutton

    Royal Prince Alfred Hospital, Australia

    1 publications · 35 citations

    1

    h-index

1–5 of 127

Venues

  1. 3

    h-index

  2. Water Resources Research

    1 publications · 20 citations

    1

    h-index

  3. Medical Image Analysis

    1 publications · 93 citations

    1

    h-index

  4. Journal of Colloid and Interface Science

    1 publications · 40 citations

    1

    h-index

  5. Journal of Fish Biology

    1 publications · 24 citations

    1

    h-index

1–5