Covariance Parameter Estimation

Covariance Parameter Estimation is a statistical inference method that belongs to the class of spatial modeling techniques, specifically designed to quantify the parameters governing the covariance structure of spatially referenced random processes by differentiating itself through the incorporation of spatial dependence patterns in geostatistical or lattice data.

225

Publications

47K

Citations

471

Authors

265

Institutions

Publications per year

2017–2026

35

Authors

471

  1. EP
    Eulogio Pardo‐Igúzquiza

    Instituto Geológico y Minero de España, Spain

    6 publications · 195 citations

    6

    h-index

  2. KV
    Kanti V. Mardia

    University of Leeds, United Kingdom

    5 publications · 1K citations

    5

    h-index

  3. DL
    Dale L. Zimmerman

    University of Iowa, United States

    4 publications · 468 citations

    4

    h-index

  4. KG
    Karl G. Jöreskog

    Educational Testing Service, United States

    4 publications · 753 citations

    4

    h-index

  5. MG
    Marc G. Genton

    King Abdullah University of Science and Technology, Saudi Arabia

    5 publications · 87 citations

    4

    h-index

1–5 of 471

Venues

  1. Biometrika

    13 publications · 1.8K citations

    12

    h-index

  2. Journal of the American Statistical Association

    11 publications · 1.4K citations

    11

    h-index

  3. Computers & Geosciences

    CAGEO · 5 publications · 188 citations

    5

    h-index

  4. Psychometrika

    5 publications · 494 citations

    5

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 5 publications · 185 citations

    5

    h-index

1–5