Bayesian Spatial Categorical Models

Bayesian Spatial Categorical Models is a statistical modeling framework that extends Bayesian categorical data analysis by incorporating spatial dependence structures to account for geographic or spatial correlations in categorical outcomes.

10

Publications

346

Citations

29

Authors

17

Institutions

Publications per year

2017–2026

3

Authors

29

  1. AN
    Alfred Ngwira

    Lilongwe University of Agriculture and Natural Resources, Malawi

    2 publications · 56 citations

    2

    h-index

  2. PB
    Patrick Bogaert

    UCLouvain, Belgium

    2 publications · 116 citations

    2

    h-index

  3. DD
    Dimitri D’Or

    UCLouvain, Belgium

    2 publications · 84 citations

    2

    h-index

  4. TF
    Thomas F. Shipley

    Temple University, United States

    1 publications · 17 citations

    1

    h-index

  5. IR
    Ilyse Resnick

    Temple University, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 29

Venues

  1. PLoS ONE

    2 publications · 98 citations

    2

    h-index

  2. European Journal of Soil Science

    2 publications · 84 citations

    2

    h-index

  3. 1

    h-index

  4. Cognitive Science

    1 publications · 17 citations

    1

    h-index

  5. 1

    h-index

1–5