Statistical Numerical Approximation Professors in Global

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Nazim Khan
University of Western Australia Australia
statistical computing
statistical model selection
stochastic modelling
statistical clustering
computational statistics
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Wenlong Mou
University of Toronto Canada
statistical computing
statistical learning
mathematical statistics
theoretical statistics
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Ismaila Ba
University of Toronto Canada
statistical computing
statistical inference
spatial statistics
theoretical statistics
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Michael Evans
University of Toronto Canada
statistical computing
statistical inference
mathematical statistics
theoretical statistics
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
statistical inference
statistical methodology
computational statistics
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John Lau
University of Western Australia Australia
statistical computing
statistical filtering
statistical clustering
computational statistics
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Chris Holmes
University of Oxford United Kingdom
stochastic simulation
spatial statistics
statistical genomics
statistical genetics
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Hao Yu
Western University Canada
approximation statistics
statistical computing
stochastic modeling
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James Nichols
Australian National University Australia
approximation
numerical simulation
high dimensional approximation theory
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Davoud Mirzaei
Uppsala University Sweden
scattered data approximation
function approximation
numerical analysis
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Ben Adcock
Simon Fraser University Canada
approximation theory
numerical analysis
numerical methods
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Alexei Shadrin
University of Cambridge United Kingdom
approximation theory
numerical analysis
shape-preserving approximation
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Ivan Kryven
Utrecht University Netherlands
random approximation algorithms
stochastic analysis
numerical methods
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Jonathan Weare
New York University United States of America
statistical machine learning
numerical analysis
stochastic algorithms
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Ian Sloan
University of New South Wales Australia
approximation theory
numerical analysis
numerical integration
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Umberto Picchini
Chalmers University of Technology Sweden
approximate bayesian computation
statistical inference
stochastic modelling
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Chuanhai Liu
Purdue University United States of America
statistical modeling
statistical inference
theoretical statistics
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Umberto Picchini
University of Gothenburg Sweden
approximate bayesian computation
statistical inference
stochastic modelling
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Tatjana Pavlenko
Uppsala University Sweden
statistical machine learning
statistical inference
computational statistics
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Berwin Turlach
University of Western Australia Australia
statistical computing
statistical learning
computational statistics
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Antoine Allard
Laval University Canada
numerical analysis
statistical inference
statistical physics
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