Semiparametric Regression Professors in Global

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Gery Geenens
University of New South Wales Australia
semiparametric models
nonparametric regression
nonparametric functional regression
nonparametric binary regression
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Nethal Jajo
University of Sydney Australia
semi-parametric regression
non-parametric regression
statistical machine learning
stochastic system modelling
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Chunming Zhang
University of Wisconsin–Madison United States of America
semi-parametric estimation
non-parametric estimation
machine learning
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Feng Chen
University of New South Wales Australia
semiparametric statistics
statistical inference
nonparametric statistics
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David Frazier
Monash University Australia
semiparametric econometric modeling
nonparametric econometric modeling
simulation-based inference
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Spiridon Penev
University of New South Wales Australia
inference of semiparametric models
stochastic risk modelling
non-parametric curve estimation
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Xiao Wang
Purdue University United States of America
nonparametric regression
stochastic analysis
statistical inference
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Dabao Zhang
Purdue University United States of America
nonparametric regression
statistical inference
machine learning
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Vinayak Rao
Purdue University United States of America
nonparametric regression
statistical inference
machine learning
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Yuhong Guo
Carleton University Canada
semi-supervised learning
machine learning
self-supervised learning
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Yuhong Guo
Carleton University Canada
semi-supervised learning
machine learning
self-supervised learning
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Alan Welsh
Australian National University Australia
nonparametric semiparametric methods
statistical inference
statistical modelling
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Nabarun Deb
University of Chicago Booth School of Business United States of America
nonparametric inference
statistical machine learning
statistical inference
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Jim Renshaw
University of Southampton United Kingdom
algebraic semigroup theory
actions of semigroups
semigroup amalgams
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Jordan Awan
Purdue University United States of America
statistical inference
machine learning
simulation-based inference
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Houman Owhadi
California Institute of Technology United States of America
multi-scale stochastic analysis
machine learning
gaussian process regression
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Houman Owhadi
California Institute of Technology United States of America
multi-scale stochastic analysis
machine learning
gaussian process regression
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
machine learning
statistical modeling
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Sanjeev Kulkarni
Princeton University United States of America
statistical pattern recognition
machine learning
nonparametric statistics
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Prashant Singh
Uppsala University Sweden
machine learning
sequential sampling
parameter inference
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Yang Feng
New York University United States of America
machine learning
nonparametric statistics
statistical modeling
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