Concepedia

Proper Conditional Autoregressive Models

Proper Conditional Autoregressive Models is a class of Bayesian spatial random-effects models that specify local dependence structures through conditional distributions, distinguished by their guarantee of a well-defined, proper joint distribution through the use of positive-definite precision matrices.

3

Publications

493

Citations

4

Authors

4

Institutions

Publications per year

2017–2026

0

Variants

Proper Car Models

Parents

Publications

3

1–3 of 3

Authors

4

  1. JS
    James S. Hodges

    University of Minnesota, United States

    1 publications · 19 citations

    1

    h-index

  2. ML
    Michael Lavine

    Duke University, United States

    1 publications · 19 citations

    1

    h-index

  3. LE
    Lekdee

    Kasetsart University, Thailand

    1 publications · 16 citations

    1

    h-index

  4. AE
    Alan E. Gelfand

    Duke University, United States

    1 publications · 458 citations

    1

    h-index

1–4 of 4

Institutions

4

  1. Kasetsart University

    Bangkok, Thailand

    1 h-index

    1 publications

    16 citations

  2. University of Minnesota

    Minneapolis, United States

    1 h-index

    1 publications

    19 citations

  3. University of Connecticut

    Storrs, United States

    1 h-index

    1 publications

    458 citations

  4. University of Massachusetts Amherst

    Amherst Center, United States

    1 h-index

    1 publications

    19 citations

1–4 of 4

Venues

  1. Journal of Mathematics and Statistics

    1 publications · 16 citations

    1

    h-index

  2. Biostatistics

    1 publications · 458 citations

    1

    h-index

  3. The American Statistician

    1 publications · 19 citations

    1

    h-index

1–3