Numerical Approximation Methods Professors in Global

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Adriano Polpo
University of Western Australia Australia
classification methods
bayesian methods
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Fabio Nobile
École Polytechnique Fédérale de Lausanne Switzerland
numerical methods for pdes
dynamical low-rank approximations
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Peter Hurley
University of Melbourne Australia
analytic methods
combinatorial methods
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Christiane Lemieux
University of Waterloo Canada
simulation techniques
quasi-monte carlo methods
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Ammar Sarhan
Dalhousie University Canada
statistical methods
bayesian methods
non-bayesian methods
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Alice Richardson
Australian National University Australia
statistical methods for large datasets
data mining methods
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Zhibiao Zhao
Pennsylvania State University United States of America
parametric methods
nonparametric methods
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Tapabrata Maiti
Michigan State University United States of America
bayesian methods
biostatistical methods
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Sujin Wang
Texas A&M University United States of America
non-parametric methodology
resampling methods
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Taisuke Otsu
London School of Economics and Political Science United Kingdom
nonparametric methods
semiparametric methods
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Taisuke Otsu
London School of Economics and Political Science United Kingdom
nonparametric methods
semiparametric methods
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Changbao Wu
University of Waterloo Canada
empirical likelihood methods
nonparametric methods
semiparametric methods
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Lisa Wittberg
KTH Royal Institute of Technology Sweden
numerical research
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Richard Waterman
University of Pennsylvania United States of America
likelihood methods
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Edward Susko
Dalhousie University Canada
likelihood methods
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Richard Waterman
University of Pennsylvania United States of America
likelihood methods
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Asker Bach
University of Copenhagen Denmark
numerical design methodology
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Paul Burridge
Northwestern University Feinberg School of Medicine United States of America
differentiation methods
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Wei Cai
Stanford University United States of America
atomistic simulation methods
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Dennis Sylvester
University of Michigan United States of America
near-threshold computing
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Karthik Shekhar
University of California, Berkeley United States of America
computational approaches
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