Statistical Inference For Massive Datasets Professors in Global

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Guang Cheng
Purdue University United States of America
high dimensional statistical inferences
big data
semi-nonparametric inferences
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John Lau
University of Western Australia Australia
statistical computing
statistical filtering
computational statistics
statistical clustering
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Nazim Khan
University of Western Australia Australia
statistical computing
statistical model selection
computational statistics
statistical clustering
stochastic modelling
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Berwin Turlach
University of Western Australia Australia
statistical computing
data mining
statistical learning
computational statistics
big data
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Nan Zou
Macquarie University Australia
statistical inference for massive datasets
statistical inference for dynamical systems
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Tony Cai
University of Pennsylvania United States of America
large-scale inference
statistical machine learning
statistical decision theory
high-dimensional statistics
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David Bolin
University of Gothenburg Sweden
analysis of large data sets
computational inference methods
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Garvesh Raskutti
University of Wisconsin–Madison United States of America
large-scale inference
computational statistics
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George Voneiff
Texas A&M University United States of America
large datasets
statistical analysis
large-scale production data analysis
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Souvik Dhara
Georgia Institute of Technology United States of America
inference algorithms
large-scale networks
high-dimensional probability statistics
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Qifan Song
Purdue University United States of America
massive data modeling
bayesian data science
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Dmitri Loguinov
Texas A&M University United States of America
massive-scale information retrieval
stochastic analysis
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Daniela Golinelli
University of Pennsylvania United States of America
statistical inference procedures
causal inference
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Davide La Vecchia
University of Geneva Switzerland
inference for random fields
robust semiparametric inference
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Ying Jin
University of Pennsylvania United States of America
selective inference
causal inference
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Shuangning Li
University of Chicago Booth School of Business United States of America
selective inference
causal inference
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Arman Sabbaghi
Purdue University United States of America
massive data
causal inference
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Xinran Li
University of Chicago United States of America
randomization-based inference
causal inference
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Christina Lee Yu
Cornell University Netherlands
inference networks
causal inference
high-dimensional statistics
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Dave Campbell
Carleton University Canada
inferential data science
computational statistics
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Mark Handcock
University of California Los Angeles United States of America
network inference
statistical models for social networks
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