Latent Growth Mixture Models Professors in Global

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Ken Beath
Macquarie University Australia
latent variable models
mixture models
infant growth models
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Yuqi Gu
Columbia University United States of America
latent variable models
deep generative models
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Bryon Aragam
University of Chicago Booth School of Business United States of America
latent variable models
deep generative models
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Maggie Niu
Pennsylvania State University United States of America
latent variable models
network models
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Alexander Donev
University of Manchester United Kingdom
linear mixed effect models
non-linear mixed effect models
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Zachary Kunicki
Brown University United States of America
latent variable modeling
growth curve modeling
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David Choi
Carnegie Mellon University United States of America
latent variables
network models
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Sharon Christ
Purdue University United States of America
mixed-effect models
latent variables
longitudinal modeling
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Nabarun Deb
University of Chicago United States of America
generative modeling
network models
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Alan Yuille
Johns Hopkins University United States of America
mathematical models
computational models
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Dorina Petriu
Carleton University Canada
model transformations
performance models
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Xiaoou Li
University of Minnesota United States of America
latent variable models
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Mike Yang
San Diego State University United States of America
latent variable models
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Francesco Sanna Passino
Imperial College London United Kingdom
latent variable models
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Haziq Jamil
London School of Economics and Political Science United Kingdom
latent variable models
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Martin Knott
London School of Economics and Political Science United Kingdom
latent variable models
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Rudolf Debelak
University of Zurich Switzerland
latent variable models
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Karl Bang Christensen
University of Copenhagen Denmark
latent variable models
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Marieke Timmerman
University of Groningen Netherlands
latent variable models
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Carlo Cavicchia
Erasmus University Rotterdam Netherlands
latent variable models
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Denny Borsboom
University of Amsterdam Netherlands
latent variable models
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