Data Sparse Models Professors in Global

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Line Clemmensen
Technical University of Denmark Denmark
sparse methods
statistical modeling
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Yali Amit
University of Chicago United States of America
statistical models
stochastic 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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Gabriela Czanner
University of Southampton United Kingdom
statistical machine learning models
spatial statistical models
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Wicher Bergsma
London School of Economics and Political Science United Kingdom
regression models
statistical modeling
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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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Ofosuhene Apenteng
University of Copenhagen Denmark
simulation models
statistical modelling
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Maggie Niu
Pennsylvania State University United States of America
network models
latent variable models
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Fatih Erenay
University of Waterloo Canada
simulation models
stochastic modeling
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Yassine Sbai Sassi
New York University United States of America
network models
panel data models
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Amin Mousavi
University of Saskatchewan Canada
statistical modeling
latent variable modeling
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Da Zhao
University of Melbourne Australia
statistical modeling
predictive modeling
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Polina Golland
Massachusetts Institute of Technology United States of America
statistical modeling
predictive modeling
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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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Junyao Xie
University of Guelph Canada
predictive modeling
dynamic modeling
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João Galvão Da Mata
Technical University of Denmark Denmark
data-sparse models
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Anica Kostic
London School of Economics United Kingdom
sparse modelling
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