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Professors
Bayesian Spatial Modeling
Bayesian Spatial Modeling Professors in Global
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Professor
Jaime Ide
Yale University
United States of America
predictive modeling
theoretical modeling
machine learning
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Professor
Ewen Harrison
University of Edinburgh
United Kingdom
predictive modeling
bayesian approaches
machine learning
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Professor
Fangxin Fang
Imperial College London
United Kingdom
predictive modeling
geophysical models
machine learning
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Professor
Jing Yao
University of Glasgow
United Kingdom
spatial optimization
spatial statistics
location modeling
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Professor
Hao Zhang
Purdue University
United States of America
spatial analysis
spatial statistics
machine learning
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Professor
David Matteson
Cornell University
Netherlands
bayesian analysis
spatial analysis
spatial statistics
machine learning
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Professor
Dan Kowal
Cornell Bowers University
United States of America
bayesian analysis
spatial analysis
spatial statistics
machine learning
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Professor
Somnath Ghosh
Johns Hopkins University
United States of America
multiscale modeling
multi-physics modeling
machine learning
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Professor
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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Professor
Simone Loreti
University of Bern
Switzerland
mathematical modelling
spatial networks
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Professor
Marcial Gonzalez
Purdue University
United States of America
predictive modeling
multi-scale modeling
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Professor
Hongyang Cheng
University of Twente
Netherlands
bayesian uncertainty quantification
multi-scale modeling
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Professor
Carly Rozins
York University
Canada
mathematical modelling
evolutionary modelling
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Professor
Mahmoud Alzoubi
Queen's University
Canada
geomechanical modeling
numerical modeling
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Professor
Heather Graven
Imperial College London
United Kingdom
biospheric modeling
atmospheric modeling
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Professor
Amy Burnicki
Pennsylvania State University
United States of America
spatial data analysis
spatial statistics
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Professor
Juxin Liu
University of Saskatchewan
Canada
spatial data analysis
spatial statistics
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Professor
Brandi Gaertner
Pennsylvania State University
United States of America
spatial analysis
spatial statistics
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Professor
Adji Dieng
Princeton University
United States of America
probabilistic modeling
statistical machine learning
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Professor
Bryon Aragam
University of Chicago Booth School of Business
United States of America
probabilistic modeling
statistical machine learning
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Professor
Sergei Dudarev
University of Oxford
United Kingdom
stochastic models
mathematical models
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