Correlation Matrix Modeling

Correlation Matrix Modeling is a statistical methodology that specifies the structure and estimation of pairwise dependence relationships among random variables within a correlation matrix, distinguished by its focus on modeling the interdependencies rather than marginal distributions in multivariate analysis.

639

Publications

42.7K

Citations

1.5K

Authors

772

Institutions

Publications per year

2017–2026

126

Authors

1.5K

  1. MW
    Mike W.‐L. Cheung

    National University of Singapore, Singapore

    5 publications · 745 citations

    5

    h-index

  2. HJ
    Harry Joe

    University of British Columbia, Canada

    4 publications · 1.5K citations

    4

    h-index

  3. MC
    Massimiliano Caporin

    University of Padua, Italy

    4 publications · 439 citations

    4

    h-index

  4. SJ
    Suzanne Jak

    University of Amsterdam, Netherlands

    4 publications · 94 citations

    4

    h-index

  5. AK
    Age K. Smilde

    University of Amsterdam, Netherlands

    3 publications · 243 citations

    3

    h-index

1–5 of 1.5K

Venues

  1. Psychometrika

    14 publications · 1.6K citations

    13

    h-index

  2. Multivariate Behavioral Research

    MBR · 13 publications · 1.1K citations

    12

    h-index

  3. Biometrika

    12 publications · 765 citations

    12

    h-index

  4. SSRN Electronic Journal

    Repository · 11 publications · 530 citations

    11

    h-index

  5. 11

    h-index

1–5