Limited Dependent Variable Models Professors in Global

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Georges Monette
York University Canada
mixed models
longitudinal models
statistical models
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Robin Evans
University of Oxford United Kingdom
latent variable models
multivariate statistical models
marginal models
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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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Yuqi Gu
Columbia University United States of America
latent variable models
deep generative models
probabilistic graphical models
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Andrew Irwin
Dalhousie University Canada
statistical mathematical models
computationally intensive statistical models
species distribution models
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Kai Brüssau
University of Hamburg Germany
regression models
large language models
classification models
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Dorina Petriu
Carleton University Canada
performance models
model transformations
model-driven development
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Matthew O'toole
New York University United States of America
limited partnerships
limited liability partnerships
limited liability companies
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Stanford University United States of America
stochastic modeling
logical modeling
computational modeling
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Eva Cantoni
University of Geneva Switzerland
mixed models
variable model selection
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Tan Bui-thanh
University of Texas at Austin United States of America
model-constrained scientific deep learning algorithms
reduced-order modeling
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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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Maggie Niu
Pennsylvania State University United States of America
latent variable models
network models
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Alan Welsh
Australian National University Australia
mixed models
statistical modelling
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Ken Beath
Macquarie University Australia
latent variable models
mixture models
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Saumen Mandal
University of Manitoba Canada
linear models
constrained optimization
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Alan Yuille
Johns Hopkins University United States of America
mathematical models
computational models
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Sergei Dudarev
University of Oxford United Kingdom
mathematical models
stochastic models
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Yiping Guo
McMaster University Canada
probabilistic models
stochastic models
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Moon Duchin
Cornell University Netherlands
randomized models
mathematical modeling
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