Covariance Functions

Covariance Function is a mathematical function that specifies the covariance between any two points in a Gaussian process, characterizing the spatial dependence structure by defining how similarity decays with distance in the input space.

685

Publications

51.5K

Citations

1.3K

Authors

641

Institutions

Publications per year

2017–2026

129

Authors

1.3K

  1. EP
    Emilio Porcu

    Federico Santa María Technical University, Chile

    24 publications · 1.1K citations

    17

    h-index

  2. CM
    Chunsheng Ma

    Wichita State University, United States

    18 publications · 464 citations

    13

    h-index

  3. KM
    Karin Meyer

    University of New England, Australia

    13 publications · 1.3K citations

    13

    h-index

  4. ML
    Michael L. Stein

    University of Chicago, United States

    12 publications · 1.1K citations

    12

    h-index

  5. MB
    Moreno Bevilacqua

    University of Valparaíso, Chile

    11 publications · 606 citations

    11

    h-index

1–5 of 1.3K

Venues

  1. Journal of the American Statistical Association

    24 publications · 3.8K citations

    20

    h-index

  2. Water Resources Research

    18 publications · 1.4K citations

    17

    h-index

  3. arXiv (Cornell University)

    Repository · 28 publications · 1.3K citations

    17

    h-index

  4. Environmetrics

    15 publications · 1.1K citations

    14

    h-index

  5. Journal of Multivariate Analysis

    13 publications · 561 citations

    13

    h-index

1–5