Statistics Seminar
School of Mathematics
The University of Edinburgh
Monday 18th August
2.00 p.m. Room 4312, James Clerk Maxwell Building
Tim Swartz,
Department of Statistics and Actuarial Science
Simon Fraser University
Tweaking Some Classical Methodologies into Bayesian Versions
With the advent of personal computing and the development of simulation
algorithms, there has been an explosion of Bayesian work carried out
over the last 20 years. Although much of the work concerns new
methodologies, many Bayesian developments have been the outgrowth of
longstanding classical procedures. In this talk, I describe two projects
in this direction where in each case the Bayesian benefits are
highlighted. The first project concerns a Bayesian implementation of the
agglomerative clustering algorithm also known as the unweighted paired
group method of averaging (UPGMA). The Bayesian version is applied to
datasets in adjudication and in stylometry. The second project concerns
the development of various longstanding social network models. In both
problems, MCMC methods are utilized.
Tea and coffee will be available after the seminar in the Mathematics
Common Room (5212).
Any enquiries about this seminar should be made to
Martin Delaney, James Clerk Maxwell Building, Room 6314.
Phone: (0131) 650 6427
E-mail: [log in to unmask]
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Professor Colin Aitken,
Professor of Forensic Statistics,
School of Mathematics, King’s Buildings, University of Edinburgh,
Mayfield Road, Edinburgh, EH9 3JZ.
Tel: 0131 650 4877
E-mail: [log in to unmask]
Fax : 0131 650 6553
http://www.maths.ed.ac.uk/~cgga
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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