Sampling Bias Professors in Global

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Laurence Frank
Utrecht University Netherlands
resampling techniques
predictive modelling
randomized response
machine learning
statistical learning
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Nick Whiteley
University of Bristol United Kingdom
sampling methods
probabilistic modelling
bayesian modelling
statistical inference
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Joshua Loftus
London School of Economics United Kingdom
bias reduction
statistical inference
machine learning
model selection
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Nazim Khan
University of Western Australia Australia
statistical model selection
stochastic modelling
time series modelling
statistical clustering
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Benoit Liquet-weiland
Macquarie University Australia
variable selection
bayesian modelling
machine learning
model selection
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Sharon Ong
Tilburg University Netherlands
stochastic filtering
machine learning
bayesian estimation
signal processing
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A.c.c. Coolen
Radboud University Netherlands
random networks
statistical inference
machine learning
predictive analysis
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Mustafa Mohamad
University of Calgary Canada
sampling
machine learning
data assimilation
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Molei Tao
Georgia Institute of Technology United States of America
sampling
machine learning
probabilistic machine learning
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Sujin Wang
Texas A&M University United States of America
survey sampling
resampling methods
biostatistical inference
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Ben Adcock
Simon Fraser University Canada
sampling theory
machine learning
signal processing
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Asokan Variyath
Memorial University of Newfoundland Canada
sampling techniques
variable selection
machine learning
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Bradley Efron
Stanford University United States of America
bootstrap sampling
statistical inference
machine learning
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
statistical modeling
machine learning
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Jun Shao
University of Wisconsin–Madison United States of America
resampling methods
sample survey
model selection
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Arman Sabbaghi
Purdue University United States of America
resampling
machine learning
model selection
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Merlise Clyde
Duke University Singapore
variable selection
bayesian model averaging
choice prediction
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Gennady Samorodnitsky
Cornell University Netherlands
stochastic modeling
machine learning
statistical analysis
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Galen Reeves
Duke University Singapore
statistical inference
machine learning
statistical signal processing
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Rajesh Ranganath
New York University United States of America
probabilistic inference
statistical inference
machine learning
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Monika Eisenmann
Lund University Sweden
randomized algorithms
machine learning
stochastic numerical analysis
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