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Bayesian Multilevel Modeling
Bayesian Multilevel Modeling Professors in Global
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Professor
Yanan Fan
University of New South Wales
Australia
bayesian computation
bayesian inference
bayesian nonparametrics
approximate bayesian computation
spatial modelling
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Professor
Daniel Laydon
Imperial College London
United Kingdom
bayesian statistics
stochastic modelling
mathematical modelling
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Professor
Yee Teh
University of Oxford
United Kingdom
bayesian statistics
bayesian nonparametrics
machine learning
large scale machine learning
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Professor
Takoua Jendoubi
University College London
United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic models
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Professor
Theo Damoulas
University of Warwick
United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic machine learning
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Professor
Nick Whiteley
University of Bristol
United Kingdom
bayesian modelling
probabilistic modelling
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Professor
Mark Borsuk
Duke University
Singapore
bayesian network modeling
mathematical modeling
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Professor
Mark Borsuk
Duke University
Singapore
bayesian network modeling
mathematical modeling
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Professor
Robin Evans
University of Oxford
United Kingdom
bayesian network models
multivariate statistical models
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Professor
Guanyu Hu
Michigan State University
United States of America
bayesian computation
bayesian nonparametric
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Professor
Madhuchhanda Bhattacharjee
University of Manchester
United Kingdom
bayesian integrated modelling
regression modelling
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Professor
Mikhail Glazunov
Delft University of Technology
Netherlands
bayesian deep learning
probabilistic modeling
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Professor
George Tomlinson
University of Toronto
Canada
multi-level models
bayesian statistics
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Professor
Edoardo Manino
University of Manchester
United Kingdom
bayesian machine learning
theoretical machine learning
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Professor
Andrew Mccluskey
University of Bristol
United Kingdom
bayesian analysis
mathematical modeling
statistical modeling
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Professor
Nazim Khan
University of Western Australia
Australia
multilevel modelling
stochastic modelling
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Professor
Martin Trapp
KTH Royal Institute of Technology
Sweden
bayesian deep learning
probabilistic machine learning
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Professor
Edson Utazi
University of Southampton
United Kingdom
bayesian computation
bayesian inference
spatiotemporal modeling
spatial modeling
machine learning
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Professor
Robin Ryder
Imperial College London
United Kingdom
bayesian computational statistics
stochastic modelling
approximate bayesian computation
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Professor
Roger Ghanem
University of Southern California
United States of America
probabilistic multi-scale modeling
probabilistic modeling
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Professor
Roger Ghanem
University of Southern California
United States of America
probabilistic multi-scale modeling
probabilistic modeling
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