High Dimensional Variable Selection Professors in Global

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Jan Bauer
Vrije Universiteit Amsterdam Netherlands
high-dimensional data analysis
variable selection
hierarchical variable clustering
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Benoit Liquet-weiland
Macquarie University Australia
high dimensional data analysis
variable selection
model selection
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Shuva Gupta
University of Pennsylvania United States of America
high dimensional data analysis
variable selection
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Taban Baghfalaki
University of Manchester United Kingdom
high-dimensional data analysis
variable selection
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Lu Xia
Michigan State University United States of America
variable selection
high-dimensional statistics
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
variable selection
high-dimensional data
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James Nichols
Australian National University Australia
high dimensional statistics
high dimensional approximation theory
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Matey Neykov
Northwestern University United States of America
variable selection
high-dimensional nonparametric estimation
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Debdeep Pati
University of Wisconsin–Madison United States of America
high dimensional network analysis
high-dimensional applications
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Mahdi Nouraie
Macquarie University Australia
high-dimensional data
stable variable selection
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Peter Bühlmann
ETH Zurich Switzerland
high-dimensional data analysis
model selection
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Florentina Bunea
Cornell University Netherlands
high-dimensional statistical inference
model selection
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Mehrdad Mahdavi
Pennsylvania State University United States of America
high-dimensional learning
large-scale optimization
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Maria Kateri
RWTH Aachen University Germany
high-dimensional statistics
model selection
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Yanrong Yang
Australian National University Australia
high dimensional statistics
large dimensional random matrix theory
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Lingzhou Xue
Pennsylvania State University United States of America
high-dimensional data
large-scale optimization
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Kun Liang
University of Waterloo Canada
high-dimensional statistics
large-scale inference
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Moumita Karmakar
University of Wisconsin–Madison United States of America
variable selection
high-throughput genomic datasets
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Tony Cai
University of Pennsylvania United States of America
high-dimensional statistics
large-scale inference
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Marten Wegkamp
Cornell Bowers University United States of America
high-dimensional statistics
model selection
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James Booth
Cornell University Netherlands
high-dimensional statistics
model selection
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