Bayesian Statistical Modeling Professors in Global

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Sabine Loos
University of Michigan United States of America
predictive modeling
geospatial modeling
statistical inference
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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian graphical models
bayesian methods
machine learning
hierarchical modeling
efficient bayesian computation
approximate bayesian methods
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James Beck
California Institute of Technology United States of America
computational bayesian statistics
stochastic system modeling
bayesian updating
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Ewen Harrison
University of Edinburgh United Kingdom
predictive modeling
bayesian approaches
machine learning
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Narayanaswamy Balakrishnan
McMaster University Canada
statistical models
probabilistic models
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Guy Bresler
Massachusetts Institute of Technology United States of America
statistical models
mathematical models
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Ajith Jayasekare
University of New South Wales Australia
predictive modeling
spatial modeling
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Jamal Arsanjani
Aalborg University Denmark
statistical models
machine learning
geospatial modelling
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Yichen Zhang
Purdue University United States of America
statistical models
statistical inference
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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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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
spatiotemporal modeling
spatial modeling
machine learning
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Michael Pyrcz
University of Texas at Austin United States of America
spatiotemporal modeling
multivariate modeling
machine learning
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Marcial Gonzalez
Purdue University United States of America
predictive modeling
multi-scale modeling
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J. Royle
Cornell University Netherlands
applied bayesian analysis
hierarchical modeling
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Ewen Harrison
University of Edinburgh United Kingdom
bayesian approaches
machine learning
prediction modelling
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
stochastic modelling
approximate bayesian computation
statistical inference
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
stochastic modelling
approximate bayesian computation
statistical inference
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Massimiliano Tamborrino
University of Warwick United Kingdom
approximate bayesian computation
statistical inference
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Madhuchhanda Bhattacharjee
University of Manchester United Kingdom
bayesian integrated modeling
regression modeling
statistical inference
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Victor Panaretos
École Polytechnique Fédérale de Lausanne Switzerland
regression modeling
statistical inference
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Mateus Maia Marques
University of Glasgow United Kingdom
bayesian tree models
statistical learning models
spatio-temporal modelling
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