Covariance Tapering

Covariance Tapering is a spatial statistical method that belongs to the class of covariance regularization techniques, distinguished by its use of a compactly supported tapering function to modify the original covariance structure, thereby inducing sparsity in the covariance matrix to improve computational efficiency in large spatial datasets.

29

Publications

5.2K

Citations

57

Authors

45

Institutions

Publications per year

2017–2026

7

Authors

57

  1. DN
    Douglas Nychka

    NSF National Center for Atmospheric Research, United States

    3 publications · 1.2K citations

    3

    h-index

  2. RF
    Reinhard Furrer

    University of Zurich, Switzerland

    3 publications · 870 citations

    3

    h-index

  3. MB
    Moreno Bevilacqua

    University of Valparaíso, Chile

    2 publications · 108 citations

    2

    h-index

  4. MG
    Marc G. Genton

    King Abdullah University of Science and Technology, Saudi Arabia

    2 publications · 772 citations

    2

    h-index

  5. PB
    Paolo Banelli

    University of Perugia, Italy

    2 publications · 30 citations

    2

    h-index

1–5 of 57

Venues

  1. The Annals of Statistics

    5 publications · 1.5K citations

    5

    h-index

  2. Journal of Computational and Graphical Statistics

    JCGS · 4 publications · 890 citations

    4

    h-index

  3. Spatial Statistics

    3 publications · 105 citations

    3

    h-index

  4. IEEE Communications Letters

    2 publications · 30 citations

    2

    h-index

  5. 2

    h-index

1–5