Skip to main content Skip to navigation

Programme

 

Sunday 28th May

Monday 29th May

Tuesday 30th May

9:30

Jim Berger
Some Recent Developments in Bayesian Model Selection

Alan Gelfand
Space-Time Modelling Using Stochastic Partial Differential Equations

Peter Mueller
Modelling Dependent Gene Expression

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
BART: Finding Low Dimensional Structure in High Dimensional Data

Excursion

Jon Wakefield
The Ecological Fallacy in Spatial Regression

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