Online Estimation Professors in Global

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Adam Wierman
California Institute of Technology United States of America
online algorithms
online optimization
online learning
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Zixiu Guo
University of New South Wales Australia
online learning
online shopping
online gaming
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Bo Sun
University of Ottawa Canada
online algorithms
online optimization
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Sahil Singla
Georgia Institute of Technology United States of America
online algorithms
online learning
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Rad Niazadeh
University of Chicago Booth School of Business United States of America
online algorithms
online learning theory
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Danny Pfeffermann
University of Southampton United Kingdom
trend estimation
small area estimation
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Marc Renault
University of Wisconsin United States of America
online algorithms
offline algorithms
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Bing Li
Pennsylvania State University United States of America
estimating equations
semiparametric estimation
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Nicole Wein
University of Michigan United States of America
online algorithms
distance-estimation algorithms
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Amy Reibman
Purdue University United States of America
image quality estimation
video quality estimation
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Michael Deturbide
Dalhousie University Canada
online education
online jurisdiction
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Jeffrey Mackie-mason
University of Michigan United States of America
online systems
online markets
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Peter Van Der Heijden
Utrecht University Netherlands
fraud estimation
population size estimation
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Andrei Volodin
University of Regina Canada
estimation of modes
classical estimation methods
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Marcia Schafgans
London School of Economics United Kingdom
semiparametric estimation
nonparametric estimation
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Cris Hughes
University of Illinois United States of America
ancestry estimations
biological profile estimation
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Marcia Schafgans
London School of Economics and Political Science United Kingdom
semiparametric estimation
nonparametric estimation
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Param Silvapulle
Monash University Australia
credit risk estimation
market risk estimation
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Paul Smith
University of Southampton United Kingdom
dual system estimation
sampling estimation methods
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Wei-biao Wu
University of Chicago United States of America
mean vector estimation
covariance matrix estimation
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Ed Cohen
Imperial College London United Kingdom
online estimation
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