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Inference Of Large Datasets
Inference Of Large Datasets Professors in Global
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Professor
Ying Jin
University of Pennsylvania
United States of America
selective inference
causal inference
distribution-free inference
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Professor
Guang Cheng
Purdue University
United States of America
high dimensional statistical inferences
semi-nonparametric inferences
machine learning
big data
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Professor
Abraham Bernstein
University of Zurich
Switzerland
large graph data sets
data mining
machine learning
time series mining
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Professor
Abraham Bernstein
University of Zurich
Switzerland
large graph data sets
data mining
machine learning
time series mining
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Professor
George Azzopardi
University of Groningen
Netherlands
data mining
machine learning
deep learning
pattern recognition
predictive analysis
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Professor
Nan Zou
Macquarie University
Australia
statistical inference for massive datasets
statistical inference for dynamical systems
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Professor
David Bolin
University of Gothenburg
Sweden
analysis of large data sets
computational inference methods
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Professor
Christina Lee Yu
Cornell University
Netherlands
inference networks
causal inference
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Professor
Christina Lee Yu
Cornell University
Netherlands
inference networks
network causal inference
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Professor
Christina Yu
Cornell University
Netherlands
inference networks
network causal inference
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Professor
Christina Yu
Cornell University
Netherlands
inference networks
network causal inference
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Professor
Souvik Dhara
Georgia Institute of Technology
United States of America
inference algorithms
large-scale networks
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Professor
Arthur Zimek
University of Southern Denmark
Denmark
large datasets
data mining
machine learning
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Professor
George Voneiff
Texas A&M University
United States of America
large datasets
large-scale production data analysis
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Professor
Shuangning Li
University of Chicago Booth School of Business
United States of America
selective inference
causal inference
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Professor
Chunming Zhang
University of Wisconsin–Madison
United States of America
large-scale simultaneous inference
data mining
machine learning
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Professor
Xinran Li
University of Chicago
United States of America
randomization-based inference
causal inference
bayesian inference
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Professor
Rui Pires Da Silva Castro
Eindhoven University of Technology
Belgium
network inference
pattern recognition
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Professor
Davide La Vecchia
University of Geneva
Switzerland
inference for random fields
robust semiparametric inference
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Professor
Marie Skov Breum
University of Copenhagen
Denmark
causal inference
semiparametric inference
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Professor
Daniel Malinsky
Columbia University
United States of America
causal inference
semiparametric inference
machine learning
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