Randomized Numerical Methods Professors in Global

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Ivan Kryven
Utrecht University Netherlands
numerical methods
randomized algorithms
random approximation algorithms
random matrices
random graph representation
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Kate Hong
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
behavioral methods
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John Anderson
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
behavioral methods
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Oleg Pikhurko
University of Warwick United Kingdom
probabilistic methods
algebraic methods
random structures
analytic methods
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Maysam Chamanzar
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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Dave Touretzky
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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Monika Eisenmann
Lund University Sweden
randomized algorithms
stochastic numerical analysis
numerical approximation
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Boualem Khouider
University of Victoria Canada
numerical methods
numerical analysis
stochastic models
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Hans De Sterck
University of Waterloo Canada
numerical methods
numerical optimization
multilevel numerical linear algebra methods
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Kristian Debrabant
University of Southern Denmark Denmark
numerical methods
numeric analysis
stochastic models
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Mike Tarr
Carnegie Mellon University United States of America
statistical methods
mathematical methods
behavioral methods
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Caleb Pomeroy
University of Toronto Canada
statistical methods
computational methods
experimental methods
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
statistical methods
biostatistical methods
methodological statistical research
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Sheehan Olver
Imperial College London United Kingdom
computational methods
numerical analysis
random matrices
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Monique Laurent
Tilburg University Netherlands
combinatorial methods
algebraic methods
geometric methods
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Charles Kenley
Purdue University United States of America
quantitative methods
bayesian methods
modeling and simulation methods
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Jo Ferrie
University of Glasgow United Kingdom
quantitative methods
qualitative methods
research methods
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Michael Griebel
University of Bonn Germany
numerical approximation
numerical simulation
random fields
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Jonathan Weare
New York University United States of America
numerical analysis
stochastic algorithms
statistical machine learning
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Alexandre Bouchard-côté
University of British Columbia Canada
statistical machine learning
bayesian methods
probabilistic modelling
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Harold Kushner
Brown University United States of America
approximation methods
optimization methods
stochastic networks
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