Linear Mixed Models Professors in Global

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Nazim Khan
University of Western Australia Australia
finite mixture models
multilevel modelling
stochastic modelling
time series modelling
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James Booth
Cornell University Netherlands
mixed models
generalized linear models
machine learning
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Georges Monette
York University Canada
mixed models
longitudinal models
statistical models
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Ziyang Lyu
University of New South Wales Australia
mixed models
machine learning
finite gaussian mixture models
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Alan Yuille
Johns Hopkins University United States of America
mathematical models
computational models
machine learning
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Paul Mcnicholas
McMaster University Canada
mixed-type data
mixture model-based clustering
multivariate longitudinal data
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Jee-seon Kim
University of Wisconsin–Madison United States of America
multilevel modeling
latent variable modeling
machine learning
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Yang Chen
University of Michigan United States of America
finite mixture models
machine learning
bayesian modeling
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Bryon Aragam
University of Chicago Booth School of Business United States of America
latent variable models
probabilistic modeling
deep generative models
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Tilda Herrgårdh
Linköping University Sweden
mathematical modelling
machine learning
mechanistic models
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Luke Miller
Radboud University Netherlands
computational modeling
machine learning
neural network modeling
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Samir Maity
Aalborg University Denmark
language modeling
machine learning
predictive modeling
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Somnath Ghosh
Johns Hopkins University United States of America
multiscale modeling
multi-physics modeling
machine learning
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Nikolai Kühne
Aalborg University Denmark
sequence modelling
machine learning
large language models
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Moez Ali
Queen's University Canada
automated modeling
machine learning
automated machine learning
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Jaime Ide
Yale University United States of America
theoretical modeling
machine learning
predictive modeling
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Benoit Liquet-weiland
Macquarie University Australia
multi-state models
machine learning
bayesian modelling
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Junyao Xie
University of Guelph Canada
machine learning
predictive modeling
dynamic modeling
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Till Bretschneider
University of Warwick United Kingdom
image-based modeling
machine learning
generative modeling
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Gabriela Czanner
University of Southampton United Kingdom
statistical machine learning models
spatial statistical models
longitudinal spatio-temporal models
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