Latent Factor Models Professors in Global

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Bryon Aragam
University of Chicago Booth School of Business United States of America
latent variable models
deep generative models
probabilistic modeling
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Georges Monette
York University Canada
longitudinal models
statistical models
mixed models
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Kai Brüssau
University of Hamburg Germany
regression models
classification models
large language models
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Harsha Honnappa
Purdue University United States of America
stochastic models
generative modeling
model estimation
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Stanford University United States of America
computational modeling
logical modeling
stochastic modeling
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Maggie Niu
Pennsylvania State University United States of America
latent variable models
network models
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Robin Evans
University of Oxford United Kingdom
latent variable models
marginal models
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Yuqi Gu
Columbia University United States of America
latent variable models
deep generative models
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Rosane Nisenbaum
University of Toronto Canada
latent class analysis
latent transition analysis
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Amin Mousavi
University of Saskatchewan Canada
latent variable modeling
statistical modeling
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Samuel Paskewitz
Yale University United States of America
bayesian latent variable models
computational models
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Natalia Bailey
Monash University Australia
factor models
spatial models
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Yvan Saint Aubin
Université de Montréal Canada
lattice models
statistical models
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Narayanaswamy Balakrishnan
McMaster University Canada
statistical models
probabilistic models
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Yali Amit
University of Chicago United States of America
statistical models
stochastic models
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Jun Shao
University of Wisconsin–Madison United States of America
linear models
nonlinear models
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Claudia Mahler
University of Calgary Canada
regression models
logistic regression models
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Ralf Möller
University of Hamburg Germany
probabilistic models
causal models
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Yiping Guo
McMaster University Canada
probabilistic models
stochastic models
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F. Rubio
University College London United Kingdom
longitudinal models
survival models
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Alan Yuille
Johns Hopkins University United States of America
computational models
mathematical models
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