Empirical Bayes Methods Professors in Global

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Monique Laurent
Tilburg University Netherlands
combinatorial methods
geometric methods
algebraic methods
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Catherine Forbes
Monash University Australia
computational methods
bayesian modelling
robust statistical methods
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Peter Hurley
University of Melbourne Australia
analytic methods
combinatorial methods
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Steen Markvorsen
Technical University of Denmark Denmark
analytic methods
geometric methods
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Austin Oswald
Dalhousie University Canada
intersectional methodologies
participatory methodologies
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Shiva Tavallaey
KTH Royal Institute of Technology Sweden
model-based methods
data-driven methods
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Oleg Pikhurko
University of Warwick United Kingdom
probabilistic methods
analytic methods
algebraic methods
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Matty Kennedy
University of Southampton United Kingdom
qualitative methodologies
quantitative methodologies
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Anna Fetter
Duke University Singapore
qualitative methodologies
quantitative methodologies
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Emre Ilhan
Macquarie University Australia
qualitative methodologies
quantitative methodologies
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Roselia Murillo
University of Texas at Austin United States of America
qualitative methodologies
quantitative methodologies
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Katarina Gustavsson
Royal Institute of Technology Sweden
analytical numerical methods
numerical methods
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Aphrodite Kapurniotu
Technical University of Munich Germany
biophysical methods
biochemical methods
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Dana-Farber Cancer Institute United States of America
biophysical methods
biochemical methods
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Jake Spicer
University of Warwick United Kingdom
empirical contrasts
sampling approaches
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Geoff Nicholls
University of Oxford United Kingdom
bayesian statistical methods
variational methods
applied bayesian inference
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Emma Davis
University of Warwick United Kingdom
surveillance methods
bayesian inference
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Mattias Sandberg
Royal Institute of Technology Sweden
analytical numerical methods
computational methods
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Lisbeth Fajstrup
Aalborg University Denmark
geometric methods
algebraic methods
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Herta Fitzer
University of Heidelberg Germany
numerical methods
bayesian inference
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Tom Rainforth
University of Oxford United Kingdom
bayesian experimental design
probabilistic data-efficient approaches
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