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Date: Friday 12 November 2010 at 3pm
Location: 4312 JCMB
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Frank Coolen (University of Durham)
"Nonparametric predictive inference for lifetime data"
Abstract
Nonparametric predictive inference (NPI) is based on only few
assumptions, enabled by the use of lower and upper probabilities to
quantify uncertainty. We give a brief overview of NPI for real-valued
observations, including the way that NPI deals with right-censored data
(providing a predictive alternative to the well-known Kaplan-Meier
estimator). We will consider comparison of groups of lifetime data and
also NPI for data resulting from competing risks. (Some information on
NPI is available from www.npi-statistics.com)
Tea and coffee will be available after the seminar in the Mathematics
Common Room (5212).
The webpage for the seminar:
http://www.maths.ed.ac.uk/~nbochkin/StatisticsSeminar.html
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Dr Natalia Bochkina
Lecturer in Statistics
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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