Data Sparse Models Professors in Global

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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Ian Wassell
University of Cambridge United Kingdom
sparse representation data
sparse image video coding
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Line Clemmensen
Technical University of Denmark Denmark
sparse methods
statistical modeling
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Trac-duy Tran
Johns Hopkins University United States of America
sparse representation
sparse recovery
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Gabriela Czanner
University of Southampton United Kingdom
statistical machine learning models
spatial statistical models
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Yali Amit
University of Chicago United States of America
statistical models
stochastic models
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Minshuo Chen
Northwestern University United States of America
data modeling
diffusion models
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Dabao Zhang
Purdue University United States of America
density models
massive data modeling
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Wicher Bergsma
London School of Economics and Political Science United Kingdom
regression models
statistical modeling
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Yiguo Sun
University of Guelph Canada
spatial regression models
panel data regression models
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Chunfang Lin
Queen's University Canada
statistical modeling
simulation models
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Magnus Röding
Chalmers University of Technology Sweden
statistical modeling
stochastic modeling
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Kai Brüssau
University of Hamburg Germany
regression models
classification models
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Edwin Kolbe
University of Basel Switzerland
statistical model
microscopic models
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Claudia Mahler
University of Calgary Canada
regression models
logistic regression models
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Georges Monette
York University Canada
statistical models
mixed models
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David Pearl
University of Guelph Canada
statistical modeling
spatial data analysis
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Benjamin Misiuk
Memorial University of Newfoundland Canada
statistical modeling
species distribution modeling
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Amin Mousavi
University of Saskatchewan Canada
statistical modeling
latent variable modeling
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Yassine Sbai Sassi
New York University United States of America
network models
panel data models
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Maggie Niu
Pennsylvania State University United States of America
network models
latent variable models
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