Spatial Bayesian Modeling is a probabilistic inference framework that integrates spatial dependencies and biological heterogeneity into Bayesian hierarchical models to quantify uncertainty and infer parameters in spatially resolved biological systems.
428
Publications
25.7K
Citations
1.4K
Authors
736
Institutions
Publications per year
2017–2026
145
Parents
Publications
428
Bayesian Spatial Modelling with<i>R</i>-<b>INLA</b>
Finn Lindgren, Håvard Rue · Journal of Statistical Software · 2015 · 1.1K citations · Full text
Bayesian networks in environmental modelling
Pedro A. Aguilera, Antonio Fernández, Rosa Fernández et al. · Environmental Modelling & Software · 2011 · 685 citations
1–5 of 428
Authors
1.4K
- SB
13
h-index
- KM
10
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- JL
10
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- HR
8
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- AO
7
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1–5 of 1.4K
Institutions
736
Norwegian University of Science and Technology
Trondheim, Norway
15 h-index
21 publications
3.4K citations
University of Minnesota
Minneapolis, United States
15 h-index
25 publications
1.5K citations
Queensland University of Technology
Brisbane, Australia
13 h-index
41 publications
1.2K citations
Imperial College London
London, United Kingdom
10 h-index
24 publications
1.4K citations
University of Waterloo
Waterloo, Canada
9 h-index
19 publications
1K citations
University of Cambridge
Cambridge, United Kingdom
9 h-index
19 publications
732 citations
United States Geological Survey
Reston, United States
9 h-index
18 publications
1.2K citations
University of Oxford
Oxford, United Kingdom
8 h-index
18 publications
1.3K citations
1–8 of 736
Venues
- Biometrics
13 publications · 936 citations
13
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- Journal of the American Statistical Association
10 publications · 1.3K citations
10
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- PLoS ONE
9 publications · 272 citations
9
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- Environmetrics
9 publications · 334 citations
9
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- Statistics in Medicine
8 publications · 519 citations
8
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