Spatial Model Averaging is a Bayesian statistical framework that belongs to the class of model averaging methods, distinguished by its explicit integration of spatial dependence structures across competing models to produce spatially adaptive inferences through posterior probability weighting.
60
Publications
3K
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166
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114
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Publications per year
2017–2026
12
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Publications
60
Bayesian Model Averaging for Spatial Econometric Models
James P. LeSage, Olivier Parent · Geographical Analysis · 2007 · 166 citations
1–5 of 60
Authors
166
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1–5 of 166
Institutions
114
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
8 publications
387 citations
North Carolina State University
Raleigh, United States
2 h-index
2 publications
36 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
9 publications
231 citations
Wageningen University & Research
Wageningen, The Netherlands
2 h-index
2 publications
84 citations
The Ohio State University
Columbus, United States
2 h-index
2 publications
110 citations
United States Geological Survey
Reston, United States
2 h-index
5 publications
361 citations
Oregon State University
Corvallis, United States
2 h-index
4 publications
130 citations
University of Colorado Boulder
Boulder, United States
2 h-index
4 publications
690 citations
1–8 of 114
Venues
- Monthly Weather Review
3 publications · 159 citations
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- Water Resources Research
3 publications · 351 citations
3
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- Boundary-Layer Meteorology
2 publications · 79 citations
2
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- Quarterly Journal of the Royal Meteorological Society
2 publications · 65 citations
2
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- Geophysical Research Letters
2 publications · 80 citations
2
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