Bayesian Statistical Modelling Professors in Global

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Christian Frier
Aalborg University Denmark
stochastic modeling
probabilistic modeling
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Shui Feng
McMaster University Canada
bayesian non-parametrics
stochastic models
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Nema Dean
University of Glasgow United Kingdom
bayesian approximate estimators
spatio-temporal modelling
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Ewen Harrison
University of Edinburgh United Kingdom
bayesian approaches
prediction modelling
machine learning
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Edward Cripps
University of Western Australia Australia
bayesian longitudinal analysis
probabilistic modeling
spatio-temporal models
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Maria Kalli
King's College London United Kingdom
bayesian regression
bayesian nonparametric methods
time series modelling
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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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Mateus Maia Marques
University of Glasgow United Kingdom
bayesian tree models
spatio-temporal modelling
statistical learning models
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Vanessa Mcnealis
University of Glasgow United Kingdom
bayesian inference
spatio-temporal modelling
hierarchical modelling
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Yun Xu
Imperial College London United Kingdom
computational modelling
multiscale modelling
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Peter Mueller
University of Texas at Austin United States of America
bayesian bioinformatics
nonparametric bayesian inference
computational methods in bayesian inference
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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian graphical models
bayesian methods
machine learning
efficient bayesian computation
hierarchical modeling
approximate bayesian methods
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Jan Johannes
Heidelberg University Germany
nonparametric bayesian inference
spatio-temporal models
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Nazim Khan
University of Western Australia Australia
stochastic modelling
time series modelling
statistical model selection
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Lisa Hellerstein
New York University Tandon School of Engineering United States of America
machine learning theory
stochastic combinatorial optimization
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Nicole Augustin
University of Edinburgh United Kingdom
spatial models
spatio-temporal models
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Nicole Augustin
University of Edinburgh United Kingdom
spatial models
spatio-temporal models
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Jianfeng Zhang
University of Southern California United States of America
stochastic numerics
stochastic analysis
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Connor Smith
Macquarie University Australia
bayesian stability selection
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Sylvain Laizet
Imperial College London United Kingdom
bayesian optimization techniques
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Andrei Volodin
University of Regina Canada
bayesian estimation methods
statistical inference
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