Hierarchical Bayesian Models Professors in Global

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Bryon Aragam
University of Chicago Booth School of Business United States of America
probabilistic modeling
statistical machine learning
deep generative models
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Marta Pittavino
University of Geneva Switzerland
bayesian hierarchical models
regression models
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Natalia Bochkina
University of Edinburgh United Kingdom
bayesian hierarchical modeling
bayesian nonparametric wavelet regression
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Robin Evans
University of Oxford United Kingdom
bayesian network models
multivariate statistical models
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Yuki Shiraito
University of Michigan United States of America
bayesian statistical models
large-scale computational algorithms
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Wentao Li
University of Manchester United Kingdom
bayesian computation methods
bayesian asymptotic theory
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Wentao Li
University of Manchester United Kingdom
bayesian computation methods
bayesian asymptotic theory
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Roger Ghanem
University of Southern California United States of America
probabilistic multi-scale modeling
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
probabilistic multi-scale modeling
probabilistic modeling
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Nadiya Kostyuk
Carnegie Mellon University United States of America
mathematical modeling
computational modeling
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Justin Remais
University of California, Berkeley United States of America
mathematical modeling
computational modeling
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Wim Van Drongelen
University of Chicago United States of America
mathematical modeling
computational modeling
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Anmar Khadra
McGill University Canada
mathematical modeling
computational modeling
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Mi Park
University of British Columbia Canada
theoretical machine learning
statistical machine learning
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Danica Sutherland
University of British Columbia Canada
theoretical machine learning
machine learning
statistical machine learning
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Cemal Erdem
Umeå University Sweden
mathematical modeling
machine learning
large-scale mechanistic modelling
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Federico Bocci
Radboud University Netherlands
mathematical modeling
machine learning
biophysical modeling
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Moon Duchin
Cornell University Netherlands
mathematical modeling
randomized models
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Joshua Chan
Purdue University United States of America
bayesian methods
high-dimensional time-series models
stochastic volatility models
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Cameron Hall
University of Bristol United Kingdom
mathematical modelling
model analysis
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Tilda Herrgårdh
Linköping University Sweden
mathematical modelling
machine learning
mechanistic models
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