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
10
1–5 of 10
29
Lilongwe University of Agriculture and Natural Resources, Malawi
2 publications · 56 citations
2
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2
h-index
2
h-index
1
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1
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1–5 of 29
17
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
3 publications
147 citations
Lilongwe University of Agriculture and Natural Resources
Lilongwe, Malawi
2 h-index
2 publications
56 citations

Universidade do Porto
Porto, Portugal
1 h-index
2 publications
124 citations
Heidelberg University
Heidelberg, Germany
1 h-index
3 publications
63 citations
Bielefeld University
Bielefeld, Germany
1 h-index
1 publications
21 citations

University of Namibia
Windhoek, Namibia
1 h-index
1 publications
20 citations
Universidade de São Paulo
São Paulo, Brazil
1 h-index
4 publications
40 citations
Biostatistique et processus spatiaux
Avignon, France
1 h-index
1 publications
53 citations
1–8 of 17
2 publications · 98 citations
2
h-index
2 publications · 84 citations
2
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1 publications · 85 citations
1
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1 publications · 17 citations
1
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1 publications · 11 citations
1
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