Bayesian Areal Data Analysis

Bayesian Areal Data Analysis is a statistical framework within Bayesian spatial analysis that specifically addresses the modeling and inference of areal data by incorporating spatial dependence structures through prior distributions on neighborhood-based random effects.

50

Publications

1.8K

Citations

112

Authors

77

Institutions

Publications per year

2017–2026

9

Authors

112

  1. BP
    Bradley P. Carlin

    University of Minnesota, United States

    8 publications · 567 citations

    8

    h-index

  2. SB
    Sudipto Banerjee

    University of Minnesota, United States

    6 publications · 331 citations

    6

    h-index

  3. JL
    Jane Law

    University of Waterloo, Canada

    2 publications · 108 citations

    2

    h-index

  4. AM
    A. Marshall McBean

    University of Minnesota, United States

    2 publications · 45 citations

    2

    h-index

  5. HM
    Haijun Ma

    Amgen (United States), United States

    2 publications · 100 citations

    2

    h-index

1–5 of 112

Venues

  1. Spatial and Spatio-temporal Epidemiology

    3 publications · 120 citations

    3

    h-index

  2. Biometrics

    3 publications · 127 citations

    3

    h-index

  3. Spatial Statistics

    2 publications · 32 citations

    2

    h-index

  4. Journal of Hydrology

    1 publications · 17 citations

    1

    h-index

  5. Statistical Methods in Medical Research

    1 publications · 34 citations

    1

    h-index

1–5