Statistical Estimation Filtering Professors in Global

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Sahand Negahban
Yale University United States of America
statistical signal processing
statistical learning
high-dimensional estimation
machine learning
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David Scheinker
Stanford University United States of America
statistical analysis
probabilistic modeling
machine learning
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R. Wilson
Michigan State University United States of America
statistical analysis
predictive analytics
machine learning
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Eric Xing
Carnegie Mellon University United States of America
statistical learning
probabilistic modeling
machine learning
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Haojian Jin
University of California, San Diego United States of America
statistical learning
predictive analytics
machine learning
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Nanwei Wang
University of New Brunswick Canada
statistical learning
machine learning
bayesian model selection
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Asokan Variyath
Memorial University of Newfoundland Canada
spatial analysis
statistical analysis fisheries data
machine learning
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Tao Ma
University of Southern California United States of America
predictive analytics
machine learning
statistical
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Fabricio Vasselai
University of Illinois United States of America
bayesian estimation
machine learning
computational electoral studies
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Anders Bæk-petersen
University of Southern Denmark Denmark
machine learning
automated decision making
mathematical modelling
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John Lau
University of Western Australia Australia
statistical filtering
statistical computing
statistical clustering
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Nazim Khan
University of Western Australia Australia
statistical model selection
stochastic modelling
statistical computing
statistical clustering
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Ying Ma
Brown University United States of America
statistical optimization
statistical learning
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Sreeraman Rajan
Carleton University Canada
statistical signal processing
machine learning
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Galen Reeves
Duke University Singapore
statistical signal processing
machine learning
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Raman Arora
Johns Hopkins University United States of America
statistical signal processing
stochastic approximation algorithms
machine learning
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Itschak Weissman
Stanford University United States of America
statistical signal processing
machine learning
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Raman Arora
Johns Hopkins University United States of America
statistical signal processing
stochastic approximation algorithms
machine learning
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Helmut Bölcskei
ETH Zurich Switzerland
statistical signal processing
machine learning
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Timo Gerkmann
University of Hamburg Germany
statistical signal processing
machine learning
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Magnus Jansson
KTH Royal Institute of Technology Sweden
statistical signal processing
machine learning
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