High Dimensional Probability Professors in Global

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Kavita Ramanan
Brown University United States of America
high-dimensional probability
probability theory
large deviations
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Matthew Jenssen
King's College London United Kingdom
probability
discrete probability
probabilistic
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James Nichols
Australian National University Australia
high dimensional statistics
high dimensional approximation theory
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Yanrong Yang
Australian National University Australia
high dimensional statistics
large dimensional random matrix theory
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Kun Liang
University of Waterloo Canada
high-dimensional statistics
large-scale inference
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Ashwin Pananjady
Georgia Institute of Technology United States of America
high-dimensional statistics
probability
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Tony Cai
University of Pennsylvania United States of America
high-dimensional statistics
large-scale inference
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Antti Knowles
University of Geneva Switzerland
high-dimensional statistics
probability theory
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Youngtak Sohn
Brown University United States of America
high-dimensional statistics
probability theory
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Frederic Koehler
University of Chicago United States of America
high-dimensional statistics
probability theory
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Tomasz Tkocz
Carnegie Mellon University United States of America
high-dimensional phenomena
probability
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Dachuan Chen
Singapore Management University Singapore
high dimensional statistics
high frequency econometrics
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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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Ryan Tibshirani
University of California, Berkeley United States of America
high-dimensional statistics
probabilistic forecasting
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Kaixin Liu
London School of Economics and Political Science United Kingdom
high-dimensional time series
high-frequency time series
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Ramon Van Handel
Princeton University United States of America
high-dimensional phenomena
probability theory
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Ahmed El Alaoui
Cornell University Netherlands
high dimensional phenomena
probability theory
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Nanwei Wang
University of New Brunswick Canada
high-dimensional data
large deviations theory
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Nick Whiteley
University of Bristol United Kingdom
high-dimensional dynamic stochastic systems
probabilistic modelling
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Danna Zhang
University of California, San Diego United States of America
high-dimensional time series
high-order statistics
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Scott Schmidler
Duke University Singapore
high-dimensional sampling algorithms
probabilistic machine learning
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