Trinity College Statistics Workshop 2011
8th September 2011, Large Conference Room, O'Reilly Institute

The Discipline of Statistics, a part of the School of Computer Science and Statistics, is delighted to host the first Trinity College Statistics Workshop. This will be a full 1 day meeting that is open to anyone in Trinity College and beyond who has research interests in the theory and application of statistical methods. We want to encourage both those who consider themselves statisticians and those with research problems that require statistical analysis to come and present their work.

The Large Conference Room, O'Reilly Institute, Trinity College. The O'Reilly Institute is located at the east end of the campus (see map here). Enter the Institute on the first floor from the steps opposite the Lloyd Institute; the Large Conference Room is on the left.

Register by e-mailing Simon Wilson at with your name and affiliation. There is no registration fee.


09:30 Registration in the O'Reilly Institute lobby. Coffee, tea and pastries will be available.
09:55 Welcome and introduction. Simon Wilson
10:00Session 1: Statistical Methods
Modelling and inference of a log Gaussian Cox process: mapping mammoth over the northern hemisphere in the last millenia. Vincent Garreta
Variable selection for supervised classification of p > n data. Katarina Domijan
Markov chain Monte Carlo for phase-type model inference. Louis Aslett
Inference for discrete latent time series processes. Arnab Bhattacharya
11:20Coffee and tea
11:40Session 2: Health and the Life Sciences
A three year national longitudinal study modelling drug treatment outcomes for opoid users. Catherine Comiskey
Exploration of empirical Bayes hierarchical modelling for the analysis of genome-wide association study data. Eleisa Heron
The use of continuous data versus categorical data in mixed treatment comparisons: the case of HAQ improvement in rheumatoid arthritis. Susanne Schmitz
13:00Lunch. Sandwiches will be provided.
14:00 Session 3: Astronomy
Image processing challenges in solar physics. Paul Higgins
Bayesian source separation, with application to the cosmic microwave background. Simon Wilson
Time series analysis in solar physics. Shaun Bloomfield
15:15Coffee and tea
15:40Session 4: Applications
Application of structural time-series models in prediction of traffic and related parameters. Bidisha Ghosh
Bayesian estimation of the number of unknown species: incorporating a model for the discovery process. Brett Houlding
Connectivity in the brain. Arun Bokde
Regression with measurement error in The Irish Longitudinal Study on Ageing. George Savva
17:00Conference closes