Workshop on Stein's method and its applications
Thursday 6 October 2016, Department of Statistics, University of Oxford
Stein's method is powerful and elegant probabilistic tool for deriving
distributional approximations in probability theory. It has found numerous
applications in fields as varied as statistical inference, random graph
theory, computational biology and machine learning. This workshop will
focus on recent theoretical developments to the method as well as
applications to problems from probability and statistics.
Confirmed speakers: Andreas Anastasiou (London School of Economics),
Benjamin Arras (University of Liege), George Deligiannidis (King's College
London), Robert Gaunt (University of Oxford), Mikolaj Kasprazk (University
of Oxford), Guillaume Mijoule (University of Liege), Gesine Reinert
(University of Oxford), Sebastian Vollmer (University of Warwick).
Registration:
To register for this workshop please send an email to [log in to unmask]
Registration is free. The deadline for abstracts for talks is Monday 26
September 2016.
Location:
The meeting will take place in Seminar Room 2 in the Department of
Statistics, University of Oxford:
Department of Statistics
University of Oxford
24-29 St Giles'
Oxford
OX1 3LB
Contact information:
For information regarding the workshop, please contact Robert Gaunt
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