Stochastic Learning Variable Order Methods Professors in Global

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Kostas Kalogeropoulos
London School of Economics and Political Science United Kingdom
stochastic differential equations
stochastic epidemic models
computational methods
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Mahdieh Arezoomandan
University of Geneva Switzerland
stochastic differential equations
stochastic partial differential equations
numerical methods
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Ivan Kryven
Utrecht University Netherlands
stochastic analysis
stochastic differential equations
randomized algorithms
numerical methods
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Diyora Salimova
University of Freiburg Germany
stochastic differential equations
computational stochastics
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Moritz Schauer
Chalmers University of Technology Sweden
stochastic differential equations
dynamical stochastic models
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Moritz Schauer
University of Gothenburg Sweden
stochastic differential equations
dynamical stochastic models
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Umberto Picchini
Chalmers University of Technology Sweden
stochastic modelling
stochastic differential equations
bayesian computational methods
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Umberto Picchini
University of Gothenburg Sweden
stochastic modelling
stochastic differential equations
bayesian computational methods
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Mircea Grigoriu
Cornell University Netherlands
numerical methods for solving stochastic problems
stochastic calculus
stochastic differential equations
stochastic partial differential equations
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Gareth Roberts
University of Warwick United Kingdom
stochastic processes
stochastic simulation
stochastic differential equations
statistical methodology
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Moumita Karmakar
University of Wisconsin–Madison United States of America
variable selection
statistical methodology
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Philippe Gagnon
University of Montreal Canada
statistical algorithms
robust statistical learning
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Monika Eisenmann
Lund University Sweden
stochastic numerical analysis
stochastic differential equations
randomized algorithms
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Michael Vock
University of Bern Switzerland
sampling methods
statistical methodology
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Arturo Winters
ETH Zurich Switzerland
stochastic differential equations
numerical methods
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Mattias Sandberg
KTH Royal Institute of Technology Sweden
stochastic differential equations
numerical methods
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Thanh Tran
University of New South Wales Australia
stochastic differential equations
numerical methods
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Beniamin Goldys
University of Sydney Australia
stochastic fluid dynamics
stochastic partial differential equations
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Jan Bauer
Vrije Universiteit Amsterdam Netherlands
statistical learning
variable selection
hierarchical variable clustering
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Chandra Sripada
University of Michigan United States of America
multivariate methodology
computational methods
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Frederi Viens
Michigan State University United States of America
stochastic control
stochastic volatility
nonlinear stochastic filtering
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