Stochastic Wave Response Predictions Professors in Global

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Laurence Frank
Utrecht University Netherlands
statistical learning
randomized response
predictive modelling
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Sabine Loos
University of Michigan United States of America
statistical learning
predictive modeling
statistical inference
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Gui-qiang Chen
University of Oxford United Kingdom
shock wave theory
stochastic pdes
statistical physics
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Nick Whiteley
University of Bristol United Kingdom
probabilistic modelling
statistical inference
high-dimensional dynamic stochastic systems
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Stavros Stavroglou
University of Edinburgh United Kingdom
statistical learning
time series forecasting
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Titouan Muzellec
University of Vienna Austria
statistical learning
predictive modeling
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Christopher Schmid
Brown University United States of America
statistical learning
predictive modeling
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Guang Lin
Purdue University United States of America
statistical learning
predictive modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
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Thuntida Ngamkham
University of Calgary Canada
statistical modelling
statistical data analysis
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Eric Xing
Carnegie Mellon University United States of America
statistical learning
probabilistic modeling
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Yongjin Park
University of British Columbia Canada
statistical learning
probabilistic modeling
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Donghoon Lee
University of Manitoba Canada
statistical computational modelling
hydroclimate forecasting
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Magnus Ross
University College London United Kingdom
time series forecasting
probabilistic machine learning
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Bahar Taskesen
University of Chicago Booth School of Business United States of America
large-scale stochastic optimization
statistical inference
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Frederi Viens
Michigan State University United States of America
stochastic control
stochastic volatility
nonlinear stochastic filtering
stochastic pdes
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Carlos Coimbra
University of California, San Diego United States of America
real-time forecasting
stochastic learning variable order methods
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Hyebin Song
Pennsylvania State University United States of America
statistical learning
statistical computing
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Berwin Turlach
University of Western Australia Australia
statistical learning
statistical computing
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