Intensive Longitudinal Data Professors in Global

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Marieke Timmerman
University of Groningen Netherlands
longitudinal measurements
multivariate data analysis
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Andrew Loza
Yale University United States of America
statistical deep learning
real-world data
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Guang Cheng
Purdue University United States of America
high dimensional statistical inferences
big data
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Yuqi Gu
Columbia University United States of America
multivariate categorical data
deep generative models
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Michael Hutchinson
Australian National University Australia
environmental data
meteorological data
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William Cleveland
Purdue University United States of America
big data
deep analysis
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John Kershaw
University of New Brunswick Canada
big data
long-term forest monitoring
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Emmeke Aarts
Utrecht University Netherlands
intensive longitudinal data
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Sy-miin Chow
Pennsylvania State University United States of America
intensive longitudinal data
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Sarah Sperry
University of Michigan United States of America
intensive longitudinal modeling
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Ellen Hamaker
Utrecht University Netherlands
intensive longitudinal research
longitudinal data analysis
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Jannis Kraiss
University of Twente Netherlands
intensive longitudinal methods
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Benjumin Hsu
University of New South Wales Australia
linked longitudinal data
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Celeste Alexander
University of Texas at Austin United States of America
longitudinal data systems
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Celeste Alexander
University of Texas at Austin United States of America
longitudinal data systems
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Martin Singull
Linköping University Sweden
longitudinal datasets
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Mariët Hagedoorn
University of Groningen Netherlands
intensive longitudinal designs
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Jonathan Rush
University of Victoria Canada
intensive longitudinal designs
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Nina Breinegaard
University of Copenhagen Denmark
longitudinal binary data analysis
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Niall Gaffney
University of Texas at Austin United States of America
data intensive computing
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Virginie Behar
Aarhus University Denmark
data-intensive surveillance
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