Passive Sampling Professors in Global

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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical machine learning
probabilistic modeling
latent variable models
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Sujin Wang
Texas A&M University United States of America
survey sampling
resampling methods
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Molei Tao
Georgia Institute of Technology United States of America
sampling
generative modeling
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Mark Handcock
University of California Los Angeles United States of America
survey sampling
stochastic modeling
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Yan Wang
University of California Los Angeles United States of America
sampling algorithms
statistical modeling
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Yuchen Wu
Cornell University Netherlands
sampling algorithms
statistical machine learning
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Nick Whiteley
University of Bristol United Kingdom
sampling methods
probabilistic modelling
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Amin Mousavi
University of Saskatchewan Canada
latent variable modeling
statistical modeling
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Sreeraman Rajan
Carleton University Canada
adaptive signal processing
statistical signal processing
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George Moustakides
University of Patras Greece
adaptive signal processing
statistical signal processing
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Milad Lankarany
University of Toronto Canada
adaptive filtering
statistical signal processing
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Xiaoou Li
University of Minnesota United States of America
importance sampling
latent variable models
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Fitalew Taye
University of Western Australia Australia
statistical modelling
discrete choice modelling
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Jethro Linley
University of Glasgow United Kingdom
statistical modelling
statistical machine learning
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Sigurd Assing
University of Warwick United Kingdom
random processes
stochastic analysis
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Miroslaw Pawlak
University of Manitoba Canada
statistical signal processing
nonparametric modeling
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Magnus Röding
Chalmers University of Technology Sweden
statistical modeling
stochastic modeling
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Mohamed Aburweis
Texas A&M University United States of America
statistical modeling
statistical machine learning
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Christian Onof
Imperial College London United Kingdom
stochastic modeling
statistical machine learning
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Alexandre Bouchard-côté
University of British Columbia Canada
probabilistic modelling
statistical machine learning
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Tatjana Pavlenko
Uppsala University Sweden
statistical machine learning
sparse signal detection
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