Statistics Seminar
School of Mathematics
The University of Edinburgh
Friday 13th October 2006
Tereza Neocleous
University of Edinburgh
A likelihood ratio approach to evidence evaluation
in the form of discrete data.
Abstract:
Likelihood ratios provide a natural way of computing the value of
evidence under competing propositions. Models for likelihood ratios
have been developed for continuous data (e.g. glass refractive index).
Such methods are also desirable for discrete data such as pollen counts
or gun-shot residue particles. Challenges in development of discrete
models include the presence of zeros and the lack of sufficient amounts
of background data. In this talk a number of approaches to obtaining
likelihood ratios for count data will be discussed and illustrated using
pollen data.
This Seminar will take place at 3.15 p.m. in Room 5326, James Clerk
Maxwell Building at the King's Buildings site in Mayfield Road. Tea and
coffee will be available after the seminar in the Mathematics School,
Staff Common Room (5212).
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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
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