Latent Class Analysis Professors in Global

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Carlo Cavicchia
Erasmus University Rotterdam Netherlands
latent variable models
data analysis
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Booil Jo
Stanford University United States of America
latent variable modeling
longitudinal data analysis
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Xiaoou Li
University of Minnesota United States of America
latent variable models
sequential analysis
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Alicia Romero
University of Michigan United States of America
regression analysis
data analysis
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Lance Galletti
Boston University United States of America
data analysis
network analysis
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Jesper Bruun
University of Copenhagen Denmark
learning analytics
network analysis
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Kevin Trainor
University of Illinois United States of America
data analysis
systems analysis
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Ricardo Alcalá Briseño
Pennsylvania State University United States of America
network analysis
computational analysis
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Yajun Mei
Georgia Institute of Technology United States of America
longitudinal data analysis
sequential analysis
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Monica Taljaard
University of Ottawa Canada
longitudinal data analysis
analysis
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Eliezer Upfal
Brown University United States of America
analysis of algorithms
probabilistic analysis
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Sveta Zinger
Eindhoven University of Technology Belgium
video analysis
temporal data analysis
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Juxin Liu
University of Saskatchewan Canada
longitudinal data analysis
temporal data analysis
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Longxiu Huang
Michigan State University United States of America
tensor analysis
random matrix analysis
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Ida Karimfazli
Concordia University Canada
computational analysis
mathematical analysis
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Andrea Mondino
University of Oxford United Kingdom
analysis
nonlinear analysis
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Timothy Healey
Cornell University Netherlands
analysis
nonlinear analysis
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David Addis Stuart
University of Cambridge United Kingdom
nonlinear analysis
mathematical analysis
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Mike Savage
London School of Economics and Political Science United Kingdom
class analysis
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Susan Burhoe
Carleton University Canada
class analysis
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Eduardo Bonilla-silva
Duke University Singapore
class analysis
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