Bayesian Spatial Analysis Professors in Global

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Yanan Fan
University of New South Wales Australia
bayesian computation
bayesian inference
spatial modelling
approximate bayesian computation
bayesian nonparametrics
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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
spatial modeling
spatiotemporal modeling
machine learning
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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian graphical models
bayesian methods
approximate bayesian methods
efficient bayesian computation
machine learning
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Sharmistha Guha
Texas A&M University United States of America
bayesian high dimensional regression
bayesian object-oriented regression
bayesian causal inference
bayesian nonparametric mixture models
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David Matteson
Cornell University Netherlands
bayesian analysis
spatial analysis
spatial statistics
machine learning
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Jane Law
University of Waterloo Canada
bayesian spatial analysis
spatial statistics
spatial analysis methodologies
spatial demography
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Dan Kowal
Cornell Bowers University United States of America
bayesian analysis
spatial analysis
spatial statistics
machine learning
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Mayank Chadha
University of California, San Diego United States of America
bayesian optimization
bayesian decision theory
geometrically exact modeling
machine learning
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Rajarshi Guhaniyogi
Texas A&M University United States of America
bayesian methods
spatial statistics
machine learning
spatio-temporal statistics
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Zhenlong Li
Pennsylvania State University United States of America
spatial modeling
spatial computing
geospatial big data
geospatial big data analytics
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Hina Shaheen
University of Manitoba Canada
bayesian inference
statistical machine learning
machine learning
computational modelling
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
image analysis
machine learning
statistical modeling
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Trevor Campbell
University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Sujit Sahu
University of Southampton United Kingdom
bayesian computation
applied bayesian modelling
spatio-temporal data modelling
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Alexander Hartemink
Duke University Singapore
bayesian networks
bayesian statistics
machine learning
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Paul Arora
University of Toronto Canada
bayesian networks
bayesian statistics
machine learning
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Somnath Chaudhuri
University of Southampton United Kingdom
bayesian models
spatial statistics
spatiotemporal modeling
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Haixu Wang
University of Calgary Canada
bayesian analysis
spatial data
machine learning
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Andre Amaral
University of Southampton United Kingdom
bayesian modelling
spatio-temporal statistical modelling
machine learning
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Jia Liu
Australian National University Australia
bayesian statistics
spatial data analysis
image analysis
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Fabricio Vasselai
University of Illinois United States of America
bayesian estimation
geospatial analysis
machine learning
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