Latent Factor Modelling Professors in Global

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Bryon Aragam
University of Chicago Booth School of Business United States of America
latent variable models
probabilistic modeling
statistical machine learning
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Iain Moyles
York University Canada
mathematical modelling
behaviour modelling
disease modelling
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Kamal Hossain
University of Melbourne Australia
computational modeling
statistical modeling
machine learning
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Daniel Graham
Imperial College London United Kingdom
mathematical modelling
statistical modelling
economic modelling
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Mirjam Kretzschmar
UMC Utrecht Netherlands
mathematical modelling
statistical modelling
infectious disease modelling
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Jovica Milanovic
University of Manchester United Kingdom
probabilistic modelling
load modelling
machine learning
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Tom Montenegro-johnson
University of Warwick United Kingdom
mathematical modelling
agent-based modelling
machine learning
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Jaime Ide
Yale University United States of America
theoretical modeling
predictive modeling
machine learning
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Joakim Munkhammar
Uppsala University Sweden
mathematical modeling
statistical modeling
machine learning
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Florentina Bunea
Cornell University Netherlands
latent-space clustering
network modeling
statistical machine learning
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Károly Takács
Linköping University Sweden
statistical modelling
agent-based modelling
machine learning
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Samir Maity
Aalborg University Denmark
language modeling
predictive modeling
machine learning
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Benjamin Christensen
Aarhus University Denmark
agent-based modelling
modelling theory
environmental modelling
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Hina Shaheen
University of Manitoba Canada
computational modelling
statistical machine learning
machine learning
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Luke Miller
Radboud University Netherlands
computational modeling
neural network modeling
machine learning
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Magnus Röding
Chalmers University of Technology Sweden
statistical modeling
stochastic modeling
machine learning
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Da Zhao
University of Melbourne Australia
statistical modeling
predictive modeling
machine learning
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Takeru Igusa
Johns Hopkins University United States of America
agent-based modeling
systems modeling
system dynamics modeling
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Elie Azar
Carleton University Canada
agent-based modeling
data-driven modeling
machine learning
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Zia Farooq
Umeå University Sweden
predictive modelling
dynamic modeling
machine learning
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Junyao Xie
University of Guelph Canada
predictive modeling
dynamic modeling
machine learning
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