Covariance Modeling

Covariance Modeling is a geostatistical method that specifies the spatial or temporal dependence structure between random variables by defining the covariance function, distinguishing it from other modeling approaches through its formal characterization of second-order stochastic relationships.

507

Publications

83.2K

Citations

1.5K

Authors

671

Institutions

Publications per year

2017–2026

84

Authors

1.5K

  1. EM
    Edward McAuley

    University of Illinois Urbana-Champaign, United States

    11 publications · 1.1K citations

    11

    h-index

  2. RC
    Robert C. MacCallum

    The Ohio State University, United States

    7 publications · 2K citations

    7

    h-index

  3. RW
    Robert W. Motl

    University of Illinois Urbana-Champaign, United States

    6 publications · 1K citations

    6

    h-index

  4. CM
    Chunsheng Ma

    Wichita State University, United States

    6 publications · 332 citations

    6

    h-index

  5. EP
    Emilio Porcu

    Federico Santa María Technical University, Chile

    6 publications · 202 citations

    6

    h-index

1–5 of 1.5K

Venues

  1. Multivariate Behavioral Research

    MBR · 11 publications · 1.5K citations

    11

    h-index

  2. Biometrika

    10 publications · 35K citations

    10

    h-index

  3. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 9 publications · 747 citations

    9

    h-index

  4. 9

    h-index

  5. Journal of the American Statistical Association

    7 publications · 1.4K citations

    7

    h-index

1–5