Dimension Reduction Methods Professors in Global

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Howell Tong
London School of Economics and Political Science United Kingdom
dimension reduction
parametric methods
non-parametric methods
semi-parametric approaches
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John Anderson
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Dave Touretzky
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Monique Laurent
Tilburg University Netherlands
geometric methods
combinatorial methods
algebraic methods
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Caleb Pomeroy
University of Toronto Canada
computational methods
statistical methods
experimental methods
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Christopher Pain
Imperial College London United Kingdom
discrete element methods
numerical methods
inversion methods
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Alison Barth
Carnegie Mellon University United States of America
statistical methods
anatomical methods
molecular methods
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Adriano Polpo
University of Western Australia Australia
classification methods
bayesian methods
resampling techniques
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Ingemar André
Lund University Sweden
computational methods
experimental methods
high-throughput methods
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Jo Ferrie
University of Glasgow United Kingdom
research methods
quantitative methods
qualitative methods
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Charles Kenley
Purdue University United States of America
modeling and simulation methods
quantitative methods
bayesian methods
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Changbao Wu
University of Waterloo Canada
semiparametric methods
resampling techniques
nonparametric methods
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Oleg Pikhurko
University of Warwick United Kingdom
probabilistic methods
algebraic methods
analytic methods
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Michel Van De Velden
Erasmus University Rotterdam Netherlands
dimension reduction
tree-based methods
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Felix Krahmer
Technical University of Munich Germany
dimension reduction
randomized sensing methods
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Francesca Chiaromonte
Pennsylvania State University United States of America
dimension reduction
feature selection methods
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Bing Li
Pennsylvania State University United States of America
dimension reduction
methods
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M Van Gijzen
Delft University of Technology Netherlands
reduction methods
iterative methods
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Rajarshi Guhaniyogi
Texas A&M University United States of America
dimensionality reduction
bayesian methods
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Sunmee Kim
University of Manitoba Canada
knowledge-based dimension reduction
longitudinal data methods
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Harold Kushner
Brown University United States of America
approximation methods
optimization methods
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