Stochastic Market Modelling Professors in Global

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Harsha Honnappa
Purdue University United States of America
stochastic models
control of stochastic systems
generative modeling
model estimation
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Purnamrita Sarkar
University of Texas at Austin United States of America
statistical models
statistical machine learning
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Adam Weiss
Carleton University Canada
econometric modelling
choice modelling
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Adam Weiss
Carleton University Canada
econometric modelling
choice modelling
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Radek Erban
University of Oxford United Kingdom
stochastic simulation algorithms
multiscale modelling
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
computational stochastic mechanics
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
computational stochastic mechanics
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Guy Bresler
Massachusetts Institute of Technology United States of America
statistical models
mathematical models
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Sudipto Banerjee
University of California Los Angeles United States of America
stochastic processes
statistical machine learning
bayesian modeling
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Narayanaswamy Balakrishnan
McMaster University Canada
statistical models
probabilistic models
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Mircea Grigoriu
Cornell University Netherlands
stochastic calculus
stochastic differential equations
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Kavan Modi
Singapore University of Technology and Design Singapore
stochastic thermodynamics
quantum stochastic processes
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Reem Khir
Purdue University United States of America
robust stochastic optimization
system modeling
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Denis Zorin
New York University United States of America
variational modeling
geometric modeling
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David Cook
University of Western Australia Australia
risk modeling
bioeconomic modeling
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Andre Amaral
University of Southampton United Kingdom
bayesian modelling
spatio-temporal statistical modelling
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Chris Cahill
Michigan State University United States of America
hierarchical modeling
bayesian modeling
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Khader Khadraoui
Laval University Canada
stochastic processes
statistical theory modeling
stochastic differential equations
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Mateus Maia Marques
University of Glasgow United Kingdom
statistical learning models
spatio-temporal modelling
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Nilabja Guha
University of Manchester United Kingdom
bayesian modeling
stochastic approximation based estimation methods
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Maria Rodriguez
Uppsala University Sweden
problem modelling
constraint modelling
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