Threshold Regression Models Professors in Global

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Robert Kohn
University of New South Wales Australia
nonparametric regression models
model averaging
time series modeling
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George Moridis
Texas A&M University United States of America
hybrid-analytical models
analytical models
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Tom Bielik
Radboud University Netherlands
models
deep learning
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Peter Mccullagh
University of Chicago United States of America
regression processes
spatial models
structured covariance models
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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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Uri Andrews
University of Wisconsin United States of America
model theory
recursive model theory
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Le Chang
Australian National University Australia
model averaging
spatio-temporal models
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Mingyuan Zhou
University of Texas at Austin United States of America
deep neural networks
generative models
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Mousumi Rizia
Australian National University Australia
deep generative modelling
deep learning
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Guido Montúfar
University of California Los Angeles United States of America
mathematical machine learning
deep learning
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Spiridon Penev
University of New South Wales Australia
stochastic risk modelling
structural equation models
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Mark Steel
University of Warwick United Kingdom
survival models
stochastic frontier models
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Christoph Reisinger
University of Oxford United Kingdom
deep neural networks
mean-field models
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Jason Klusowski
Princeton University United States of America
decision tree learning
deep learning
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Matias Carrasco Kind
University of Illinois United States of America
machine learning
generative predictive models
deep learning
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Pearson
University of Chicago United States of America
mathematical modeling
deep learning
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Luca Ferrari
ETH Zurich Switzerland
mathematical modeling
deep learning
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Federico Bocci
Radboud University Netherlands
machine learning
mathematical modeling
deep learning
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Nazim Khan
University of Western Australia Australia
stochastic modelling
time series modelling
statistical model selection
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