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Dependent Random Variables
Dependent Random Variables Professors in Global
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Professor
Ivan Kryven
Utrecht University
Netherlands
randomized algorithms
random matrices
random approximation algorithms
random graph representation
stochastic analysis
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Professor
Daren Cline
Texas A&M University
United States of America
dynamic random networks
heavy-tailed random variables
applied probability
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Professor
Karin Nilsson
Linköping University
Sweden
environmental variables
linguistic variables
cognitive variables
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Professor
Bryon Aragam
University of Chicago Booth School of Business
United States of America
probabilistic modeling
latent variable models
statistical machine learning
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Professor
Laurence Frank
Utrecht University
Netherlands
randomized response
multivariate statistics
predictive modelling
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Professor
Arpan Mukhopadhyay
University of Warwick
United Kingdom
randomized algorithms
stochastic modeling
applied probability
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Professor
Frederi Viens
Michigan State University
United States of America
random matrices
random fields
stochastic volatility
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Professor
Ingemar Kaj
Uppsala University
Sweden
long-range dependence
stochastic models
random fields
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Professor
Gérard Ben Arous
New York University
United States of America
random matrices
random media
stochastic analysis
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Professor
Gennady Samorodnitsky
Cornell University
Netherlands
long-range dependence
random fields
stochastic modeling
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Professor
Yuqi Gu
Columbia University
United States of America
latent variable models
probabilistic graphical models
statistical machine learning
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Professor
Gérard Ben Arous
New York University
United States of America
random matrices
random media
stochastic analysis
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Professor
Ton Dieker
Columbia University
United States of America
random processes
predictive modeling
stochastic networks
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Professor
Matthew Jenssen
King's College London
United Kingdom
discrete probability
probabilistic
random matrix theory
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Professor
Longxiu Huang
Michigan State University
United States of America
random tensor analysis
random matrix analysis
dynamical sampling
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Professor
Krzysztof Latuszynski
University of Warwick
United Kingdom
probabilistic algorithms
stochastic simulation
applied probability
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Professor
Kemal Büyükkurt
Concordia University
Canada
probabilistic choice models
subjective probability distributions
probabilistic decision support systems
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Professor
Kavita Ramanan
Brown University
United States of America
stochastic analysis
high-dimensional probability
stochastic networks
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Professor
Zoltán Szabó
London School of Economics and Political Science
United Kingdom
distribution regression
shape-constrained prediction
statistical machine learning
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Professor
Jethro Linley
University of Glasgow
United Kingdom
statistical modelling
statistical machine learning
structured data dependencies
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Professor
Yuri Bakhtin
New York University
United States of America
random dynamics
probabilistic models
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