Two Dimensional Statistical Properties Professors in Global

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Youngtak Sohn
Brown University United States of America
high-dimensional statistics
mathematical statistics
statistical physics
statistical inference
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Yutong Wang
London School of Economics and Political Science United Kingdom
high-dimensional statistics
dynamic network statistical modeling
time series statistical learning
statistical learning theory
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Ismaila Ba
University of Toronto Canada
spatial statistics
theoretical statistics
statistical computing
statistical inference
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Wenlong Mou
University of Toronto Canada
mathematical statistics
theoretical statistics
statistical computing
statistical learning
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Maria Kateri
RWTH Aachen University Germany
high-dimensional statistics
multivariate statistics
statistical information theory
stochastic modelling
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Michael Evans
University of Toronto Canada
mathematical statistics
theoretical statistics
statistical computing
statistical inference
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Berwin Turlach
University of Western Australia Australia
computational statistics
statistical computing
statistical learning
applied statistics
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John Lau
University of Western Australia Australia
computational statistics
statistical computing
statistical filtering
applied statistics
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Nazim Khan
University of Western Australia Australia
computational statistics
statistical computing
applied statistics
stochastic modelling
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Joshua Robinson
Pennsylvania State University United States of America
physical properties
photonic properties
2d
electronic properties
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Sebastien Roch
University of Wisconsin–Madison United States of America
statistical computing
statistical theory
statistical methodology
applied statistics
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Xin Bing
University of Toronto Canada
high-dimensional statistics
mathematical statistics
theoretical statistics
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David Matteson
Cornell University Netherlands
high-dimensional statistics
spatial statistics
spatial analysis
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Piotr Zwiernik
University of Toronto Canada
high-dimensional statistics
mathematical statistics
statistical computing
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Marten Wegkamp
Cornell Bowers University United States of America
high-dimensional statistics
mathematical statistics
statistical learning theory
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Huiyan Sang
Texas A&M University United States of America
spatial statistics
high dimensional data analysis
computational statistics
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Hyebin Song
Pennsylvania State University United States of America
high-dimensional statistics
statistical computing
statistical learning
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Kathryn Roeder
Carnegie Mellon University United States of America
high dimensional statistics
statistical machine learning
statistical methods
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Rajarshi Guhaniyogi
Texas A&M University United States of America
spatial statistics
spatio-temporal statistics
dimensionality reduction
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Juxin Liu
University of Saskatchewan Canada
spatial statistics
computational statistics
spatial data analysis
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Dehan Kong
University of Toronto Canada
high dimensional data analysis
statistical machine learning
theoretical statistics
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