High Dimensional Nonparametric Statistics Professors in Global

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Ramon Van Handel
Princeton University United States of America
high-dimensional phenomena
noncommutative probability
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Sharmistha Guha
Texas A&M University United States of America
bayesian high dimensional regression
bayesian nonparametric mixture models
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Moses Charikar
Stanford University United States of America
efficient algorithms for computational problems in high-dimensional statistics
efficient algorithmic techniques for processing high-dimensional data sets
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
stochastic algorithms
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
stochastic algorithms
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Pratheepa Jeganathan
McMaster University Canada
statistical methods for high throughput data
spatial statistics
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Alexander Etz
University of Texas at Austin United States of America
inferential statistics
advanced statistics
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Ian Simpson
University of Edinburgh United Kingdom
high-throughput data analysis
statistical machine learning
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Edwin Pos
Utrecht University Netherlands
complex statistics
large-scale data analysis
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Ismaila Ba
University of Toronto Canada
theoretical statistics
spatial statistics
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Andrey Feuerverger
University of Toronto Canada
nonparametrics
mathematical statistics
theoretical statistics
nonparametric testing
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Helga Ólafsdóttir
Chalmers University of Technology Sweden
spatial statistics
non-gaussian models
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Helga Olafsdottir
University of Gothenburg Sweden
spatial statistics
non-gaussian models
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Julia Brettschneider
University of Warwick United Kingdom
spatial statistics
interdisciplinary statistics
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Garvesh Raskutti
University of Wisconsin–Madison United States of America
computational statistics
theoretical statistics
large-scale inference
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Andrew Irwin
Dalhousie University Canada
computationally intensive statistical models
statistical mathematical models
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Philipp Otto
University of Glasgow United Kingdom
spatial statistics
spatiotemporal statistics
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Hsiao-dong Chiang
Cornell University Netherlands
nonlinear computation methods
nonlinear optimization
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Catherine Calder
University of Texas at Austin United States of America
spatial statistics
spatio-temporal statistics
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Mevin Hooten
University of Texas at Austin United States of America
spatial statistics
spatio-temporal statistics
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Adam Sykulski
Imperial College London United Kingdom
spatial statistics
spatio-temporal statistics
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