Programme
|
Sunday 28th May |
Monday 29th May |
Tuesday 30th May |
|
| 9:30 |
Jim Berger |
Alan Gelfand |
Peter Mueller |
| 10:30 |
Tea and Coffee |
Tea and Coffee |
Tea and Coffee |
| 11:00 |
Invited Session 1 |
Invited Session 3 |
Invited Session 4 |
| 1:00 |
Lunch |
Lunch |
Lunch |
| 2:00 |
Ed George |
Excursion |
Jon Wakefield |
| 3:00 |
Tea and Coffee |
Tea and Coffee |
|
| 3:30 |
Invited Session 2 |
Invited Session 5 |
|
| 7:30 |
Dinner |
Workshop Dinner |
Dinner |
A poster session will take place on Sunday 28th May.
Invited Session 1
Michael Goldstein
Bayesian model comparison: a geometric, graphical approach
David Spiegelhalter
Monitoring a new surgical intervention with long-term consequences
Zoubin Ghahramani
Bayesian model selection: non-parametric approaches and recent advances in approximate inference
Invited Session 2
Robert Kohn
Variable selection and model averaging in semiparametric overdispersed generalized linear models
Bani Mallick
Bayesian model based classification and its applications
Phil Brown
Multiple modes in high dimensional regression settings
Invited Session 3
Robert Wolpert
Bayesian semiparametric space-time models
Montserrat Fuentes
Bayesian spatial modeling of the association between speciated fine particles and mortality
Thomas Kneib
Bayesian structured hazard regression
Invited Session 4
Chris Holmes
Bayesian Relaxation methods for the exploratory analysis of gene expression data
Peter Green
Parametric gene expression profile models and optimal Bayesian clustering
Marina Vannucci
Bayesian Variable Selection in Clustering via Dirichlet Process Mixture Models
Invited Session 5
Leo Knorr-Held
Quantitative assessment of probabilistic forecasts with applications to epidemiology
David Dunson
Bayesian Density Regression
Nicky Best
Environmental benzene and risk of childhood leukaemia: a case study in applied Bayesian modelling
