Spatio-temporal Bayesian Modeling

Spatio-Temporal Bayesian Modeling is a statistical modeling framework that integrates Bayesian inference with spatio-temporal processes to jointly account for spatial dependence, temporal dynamics, and uncertainty quantification through probabilistic hierarchies.

282

Publications

15.8K

Citations

967

Authors

469

Institutions

Publications per year

2017–2026

130

Authors

967

  1. CK
    Christopher K. Wikle

    University of Missouri, United States

    9 publications · 897 citations

    9

    h-index

  2. VA
    Victor A. Alegana

    Kenya Medical Research Institute, Kenya

    7 publications · 249 citations

    7

    h-index

  3. AE
    Alan E. Gelfand

    Duke University, United States

    7 publications · 687 citations

    7

    h-index

  4. MJ
    Michael J. Yabsley

    University of Georgia, United States

    6 publications · 204 citations

    6

    h-index

  5. AL
    Antonio López‐Quílez

    Universitat de València, Spain

    6 publications · 335 citations

    6

    h-index

1–5 of 967

Venues

  1. PLoS ONE

    18 publications · 602 citations

    16

    h-index

  2. Environmetrics

    13 publications · 469 citations

    12

    h-index

  3. Scientific Reports

    11 publications · 331 citations

    11

    h-index

  4. 7

    h-index

  5. 6

    h-index

1–5