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Stochastic Inventory Models
Stochastic Inventory Models Professors in Global
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Professor
Sabine Loos
University of Michigan
United States of America
statistical inference
predictive modeling
statistical learning
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Professor
Nick Whiteley
University of Bristol
United Kingdom
statistical inference
probabilistic modelling
high-dimensional dynamic stochastic systems
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Professor
Barbara Bravi
Imperial College London
United Kingdom
statistical inference
machine learning
stochastic biochemical reactions
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Professor
Bojana Rosic
University of Twente
Netherlands
statistical inference
machine learning
stochastic description of materials systems
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Professor
Rajesh Ranganath
New York University
United States of America
statistical inference
machine learning
probabilistic inference
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Professor
Titouan Muzellec
University of Vienna
Austria
predictive modeling
machine learning
statistical learning
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Professor
Guang Lin
Purdue University
United States of America
predictive modeling
machine learning
statistical learning
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Professor
Madhuchhanda Bhattacharjee
University of Manchester
United Kingdom
stochastic processes
statistical inference
bayesian integrated modeling
regression modeling
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Professor
Joris Mooij
University of Amsterdam
Netherlands
computational models
machine learning
statistical learning
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Professor
David Duvenaud
University of Toronto
Canada
deep probabilistic models
machine learning
generative models
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Professor
Molei Tao
Georgia Institute of Technology
United States of America
machine learning
generative modeling
probabilistic machine learning
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Professor
Yingzhen Li
Imperial College London
United Kingdom
machine learning
generative modeling
probabilistic machine learning
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Professor
Bryon Aragam
University of Chicago Booth School of Business
United States of America
statistical machine learning
probabilistic modeling
deep generative models
statistical learning theory
latent variable models
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Professor
Sergey Zuev
Chalmers University of Technology
Sweden
stochastic geometry
stochastic stability optimization
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Professor
Sergei Zuyev
University of Gothenburg
Sweden
stochastic geometry
stochastic stability optimization
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Professor
Ivo Adan
Eindhoven University of Technology
Belgium
stochastic operations research
queueing models
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Professor
Konstantin Zuev
California Institute of Technology
United States of America
statistical inference
probability models
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Professor
Karthik Shekhar
University of California, Berkeley
United States of America
statistical inference
machine learning
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Professor
Mahdi Soltanolkotabi
University of Southern California
United States of America
statistical inference
machine learning
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Professor
Nikos Tzavidis
University of Southampton
United Kingdom
statistical inference
machine learning
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Professor
Joshua Loftus
London School of Economics
United Kingdom
statistical inference
machine learning
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