Conditional Autoregressive Models

Conditional Autoregressive Models is a Bayesian hierarchical modeling framework that belongs to the class of spatial statistical models, distinguished by its specification of spatial dependence through conditional distributions of a spatially indexed random effect given all others, incorporating neighborhood structure via a graph-based stochastic process.

616

Publications

36.2K

Citations

1.6K

Authors

884

Institutions

Publications per year

2017–2026

194

Authors

1.6K

  1. AC
    Archie C. A. Clements

    Australian National University, Australia

    18 publications · 884 citations

    18

    h-index

  2. KW
    Kinley Wangdi

    Australian National University, Australia

    10 publications · 371 citations

    10

    h-index

  3. KM
    Kerrie Mengersen

    Queensland University of Technology, Australia

    12 publications · 569 citations

    10

    h-index

  4. RF
    Robert F. Engle

    New York University, United States

    8 publications · 3K citations

    8

    h-index

  5. WH
    Wenbiao Hu

    Queensland University of Technology, Australia

    8 publications · 343 citations

    8

    h-index

1–5 of 1.6K

Venues

  1. Journal of Business and Economic Statistics

    JBES · 18 publications · 5.1K citations

    17

    h-index

  2. SSRN Electronic Journal

    Repository · 21 publications · 659 citations

    15

    h-index

  3. PLoS ONE

    16 publications · 681 citations

    15

    h-index

  4. Statistics in Medicine

    14 publications · 468 citations

    14

    h-index

  5. 9

    h-index

1–5