SPARSE STRUCTURES: STATISTICAL THEORY AND PRACTICE
Research workshop: 16-18 June 2010, Bristol, UK
One of the most challenging problems in modern statistics is to find
effective methods for the analysis of complex multi-dimensional data.
Sparsity has been emerging as a major tool for handling statistical
problems in high dimensions. The aim of this workshop is to bring
together theory and practice in modelling high-dimensional data using
these tools.
Invited speakers
Christophe Ambroise (CNRS, Paris)
Francois Caron (Bordeaux)
Sara van de Geer (Zurich)
David Madigan (Columbia)
Nicolai Meinshausen (Oxford)
Sylvia Richardson (Imperial)
Ya'acov Ritov (Jerusalem)
Bernard Silverman (Oxford)
Rob Tibshirani (Stanford) *
Mike Tipping (consultant)
Alexandre Tsybakov (Paris VI)
Martin Wainwright (Berkeley)
(* indicates not yet accepted)
The workshop will also feature a contributed and poster programme.
The number of participants we can accept is limited, and we ask you to
write to us in advance if you wish to attend. We will have some limited
funds for partial support of expenses for junior researchers (graduate
students, and researchers within 3 years of receiving their Ph.D. degree).
The deadlines, as well as further information about the workshop can be
found at http://www.sustain.bris.ac.uk/ws-sparsity/
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Dr Natalia Bochkina
School of Mathematics
King’s Buildings
University of Edinburgh
Mayfield Road
Edinburgh, EH9 3JZ
Tel: 0131 650 8597
Email: [log in to unmask]
Webpage: http://www.maths.ed.ac.uk/~nbochkin/
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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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