Dear all!
Please note that the previous announcement for Peter Halls talk next
week in Aberdeen had errors in the specification of the venue. You will
find the corrected details below.
Sorry about that,
Claus (local group secretary)
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SPEAKER: Peter Hall (Melbourne)
TITLE: Robustness of multiple hypothesis testing procedures against
dependence
DATE: Wednesday, 5 December 2007
TIME: 4pm
VENUE: Room 115 is in the Health Sciences Building (NOT the Medical
Sciences Building as previously noted. The Health Sciences building is
denoted as H on this map.
http://www.abdn.ac.uk/central/vcampus/foresterhill/medschool.shtml
The car park off Ashgrove Road should have some free spaces at this time
and parking on the road becomes free at 4pm)
ABSTRACT:
Problems involving classification of high-dimensional data, and `highly
multiple' hypothesis testing, arise frequently in the analysis of
genetic data and complex signals. Their theoretical elucidation raises
challenges, however. We address this issue by interpreting small
samples of high-dimensional data as small numbers of replicates of long
segments of nonstationary time-series. Depending to some extent on how
erratic the time-series are, important features of classifiers, or of
multiple hypothesis testing procedures, can be accessed by exploring
properties of time-series models. For example it can be shown that, in
the context of multiple hypothesis testing, the assumption of
independence is much less of an issue in high-dimensional settings than
in conventional, low-dimensional ones. This is particularly true when
the null distributions of test statistics are relatively light-tailed,
for instance when they can plausibly be based on Normal approximations.
Similar arguments can be employed to explore other aspects of the
analysis of high-dimensional data.
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Dr Claus-D. Mayer | http://www.bioss.ac.uk
Biomathematics & Statistics Scotland | email: [log in to unmask]
Rowett Research Institute | Telephone: +44 (0) 1224 716652
Aberdeen AB21 9SB, Scotland, UK. | Fax: +44 (0) 1224 715349
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