The UNIVERSITY OF EDINBURGH
SCHOOL OF MATHEMATICS
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Date: Friday 9 March 2012 at 3pm
Location: 6301 JCMB
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Jim Smith (University of Warwick)
* Chain Event Graphs *
Abstract
Chain Event Graphs are a class of discrete graphical models which
contains finite discrete Bayesian Networks (BNs) as a very special case.
The graphs express common types of hypotheses about how events in a
process might unfold. Their likelihoods take a simple form. So like BNs
a conjugate analysis is possible and hence fast model selection
algorithms allow us to search enormous model spaces for the most
supported hypotheses. They also extend to give a framework for causal
inference: again much more expressive than the BN.
In the talk I will introduce the class and then illustrate how it can be
used in a variety of settings.
Tea and coffee will be available after the seminar in the Mathematics
Common Room (5212).
This seminar series is a part of Maxwell Institute seminar series.
The seminar website:
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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