Bayesian Spatial Modeling Professors in Global

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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian graphical models
bayesian methods
hierarchical modeling
efficient bayesian computation
approximate bayesian methods
machine learning
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Edson Utazi
University of Southampton United Kingdom
bayesian computation
spatial modeling
bayesian inference
spatiotemporal modeling
machine learning
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Yanan Fan
University of New South Wales Australia
bayesian computation
spatial modelling
bayesian inference
bayesian nonparametrics
approximate bayesian computation
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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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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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Xenia Miscouridou
Imperial College London United Kingdom
bayesian statistical machine learning
bayesian nonparametrics
statistical network modeling
stochastic process modeling
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David Matteson
Cornell University Netherlands
bayesian analysis
spatial analysis
spatial statistics
machine learning
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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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Hina Shaheen
University of Manitoba Canada
bayesian inference
computational modelling
statistical machine learning
machine learning
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Sujit Sahu
University of Southampton United Kingdom
bayesian computation
applied bayesian modelling
spatio-temporal data modelling
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Andre Amaral
University of Southampton United Kingdom
bayesian modelling
spatio-temporal statistical modelling
machine learning
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Trevor Campbell
University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Somnath Chaudhuri
University of Southampton United Kingdom
bayesian models
spatiotemporal modeling
spatial statistics
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Crystal Linkletter
Brown University United States of America
bayesian hierarchical modeling
statistical modeling
spatial statistics
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
stochastic modelling
approximate bayesian computation
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Alexander Hartemink
Duke University Singapore
bayesian networks
bayesian statistics
machine learning
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
stochastic modelling
approximate bayesian computation
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Paul Arora
University of Toronto Canada
bayesian networks
bayesian statistics
machine learning
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Michele Guindani
University of California, Irvine United States of America
bayesian modeling
nonparametric bayesian models
machine learning
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Vanessa Mcnealis
University of Glasgow United Kingdom
bayesian inference
spatio-temporal modelling
hierarchical modelling
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Lu Wang
Toronto Metropolitan University Canada
spatial modeling
statistical modeling
spatial analysis
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