Empirical Bayesian Kriging

Empirical Bayesian Kriging is a geostatistical interpolation method that extends traditional kriging by incorporating Bayesian inference to automatically estimate model parameters through repeated simulations, thereby accounting for uncertainty in the variogram estimation.

60

Publications

2.8K

Citations

261

Authors

141

Institutions

Publications per year

2017–2026

50

Authors

261

  1. EJ
    Ezekiel James

    United States Agency for International Development, United States

    2 publications · 39 citations

    2

    h-index

  2. AO
    Amobi Onovo

    United States Agency for International Development, United States

    2 publications · 39 citations

    2

    h-index

  3. AA
    Akinyemi Atobatele

    United States Agency for International Development, United States

    2 publications · 39 citations

    2

    h-index

  4. GO
    Gertrude Odezugo

    United States Agency for International Development, United States

    2 publications · 39 citations

    2

    h-index

  5. LB
    Luboš Borůvka

    Czech University of Life Sciences Prague, Czechia

    2 publications · 47 citations

    2

    h-index

1–5 of 261

Venues

  1. Scientific Reports

    4 publications · 159 citations

    4

    h-index

  2. 4

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  3. PLoS ONE

    4 publications · 96 citations

    3

    h-index

  4. Atmosphere

    2 publications · 71 citations

    2

    h-index

  5. Remote Sensing

    2 publications · 44 citations

    2

    h-index

1–5