| Monday 30th June |
| 14:00 | Registration in Holgate House - closes at Dinner |
| 19:00 | Dinner |
| Tuesday 1st July |
| Chair: A.P. Dawid |
| 09:30-10:20 | M. Studeny | On Bayesian criteria for learning Bayesian network structure |
| 10:30 | Coffee/Tea and laptop support |
| 11:15-12:05 | M. Drton | Graphical methods for efficient likelihood inference in Gaussian covariance models |
| 13:00 | Lunch |
| 15:30 | Coffee/Tea and laptop support |
| Chair: J. Whittaker |
| 16:00-16:30 | R.G. Cowell | A pot-pourri of Bayesian network learning methods |
| 16:40-17:10 | R. Silva | Factorial mixture of Gaussians and the marginal independence model |
| 17:20-17:50 | Y.W. Teh | Collapsed variational inference for infinite state Bayesian networks |
| 17:55-18:25 | M. Wainwright | Marginal polytopes of graphical models: Linear programs, max-product, and variational relaxation |
| 20:00 | Wine Reception (after dinner) in the JCR, Grey College |
| Wednesday 2nd July |
| Chair: S.L. Lauritzen |
| 09:30-10:20 | A.P. Dawid | Using influence diagrams for causal inference |
| 10:30 | Coffee/Tea and laptop support |
| 11:15-12:05 | V. Didelez | G-Formula, Inverse Probability of Treatment Weighting and Optimal
Sequential Treatments |
| 13:00 | Lunch |
| 15:30 | Coffee/Tea |
| Chair: R.G. Cowell |
| 16:00-16:30 | P. Vicard | Model based and model assisted estimators using probabilistic expert systems |
| 16:40-17:10 | J. Whittaker | Bootstrapping divergence weighted independence graphs for design based
survey analysis |
| 17:20-17:50 | J. Mortera | Sensitivity of inference in Bayesian networks to assumptions about founders |
| Thursday 3rd July |
| Chair: A. Roverato |
| 09:30-10:20 | N. Wermuth | Probability distributions with summary graph structure |
| 10:30 | Coffee/Tea |
| 11:15-12:05 | H. Massam | Flexible Wisharts disctributions and their applications |
| 13:00 | Lunch |
| 14:00 | Conference Photograph after lunch outside Grey College main entrance |
| 15:30 | Durham Cathedral Tour (confirm your participation at registration) |
| Friday 4th July |
| Chair: G. Pistone |
| 09:30-10:20 | S. Sullivant | Algebraic aspects of Gaussian graphical models |
| 10:30 | Coffee/Tea |
| 11:15 | Poster pre-presentations |
| F. Barthel | Predicting survival using gene expression data and graphical models |
| C. Blundell | Learning Causal Bayesian Networks via Time Orderings |
| L. Malagò | Probabilistic Graphical Models in Evolutionary Computation: from Estimation of Distribution Algorithms to the Combination of Population-Based and Model-Based Search |
| S. Massa | Combining statistical models |
| F. Matus | The worst data for hierarchical log-linear models |
| A. Mazumder | Value of Evidence Analysis Using Probabilistic Expert Systems - applications in planning for forensic DNA identification |
| H. Neufeld | Graphical Gaussian Models with Symmetries |
| K. Panayidou | Tree Learning and Variable Selection |
| R. Ramsahai | Significance Test for Instrumental Model |
| C. Uhler | Detecting Interacting SNPs in Disease Association Studies Using MCMC on
Multidimensional Contingency Tables |
| O. Zuk | The sample complexity of learning Bayesian Networks |
| 13:00 | Lunch |
| 15:30 | Coffee/Tea |
| Chair: M. Studeny |
| 16:00-16:30 | H.P. Wynn | Junction tubes for Bayes nets and related algebra |
| 16:40-17:10 | G. Pistone | Information geometry of graphical models |
| 20:00 | Poster session with cheese and wine in the JCR, Grey College. |
| Saturday 5th July |
| Chair: J. Mortera |
| 09:30-10:20 | J. Besag | Some statistical applications of constrained Monte Carlo
AND
Continuum limits of Gaussian Markov fields resolving the conflicts with geostatistics |
| 10:30 | Coffee/Tea |
| 13:00 | Lunch |
| 15:30 | Coffee/Tea |
| Chair: H. Massam |
| 16:00-16:30 | S-H. Kim | Markovian combination of decomposable model structures: MCMoSt |
| 16:40-17:10 | G. Letac | The tiling of a junction tree by the minimal separators and its application to Wishart laws on non homogeneous decomposable graphs |
| 17:20-17:50 | D. Barber | Graph decomposition for community identification and covariance constraints |
| Sunday 6th July |
| 09:00 | Day trip to Alnwick, Holy Island and Bamburgh Castle (confirm your participation at registration) |
| Monday 7th July |
| Chair: V. Didelez |
| 09:30-10:20 | M. Eichler | Learning causal structures in multivariate time series |
| 10:30 | Coffee/Tea |
| 11:15-11:45 | J.J. Forster | Bayesian (conditionally) conjugate inference for discrete data models
|
| 13:00 | Lunch |
| 15:30 | Coffee/Tea |
| Chair: F. Matus |
| 16:00-16:30 | J.Q. Smith | Large sample robustness Bayes nets with incomplete information |
| 16:40-17:10 | D. Malouche | Gaussian covariance decomposition for PC-algorithm |
| 17:20-17:50 | J. Cussens | Bayesian network learning by compiling to weighted MAX-SAT |
| Tuesday 8th July |
| Chair: N. Wermuth |
| 09:30-10:20 | A. Roverato | The non-rejection rate for structural learning of gene transcription networks from E.coli microarray data |
| 10:30 | Coffee/Tea |
| 11:15-12:05 | A. Dobra | Bayesian structural learning and estimation in Gaussian graphical models and hierarchical log-linear models
|
| 13:00 | Lunch |
| 15:30 | Coffee/Tea |
| Chair: J.Q. Smith |
| 16:00-16:30 | F. Matus | On minimization of entropy functionals under
moment constraints |
| 16:40-17:10 | S. Hojsgaard | RCOX models: Graphical Gaussian models with edge and vertex symmetries |
| 17:20-17:50 | S.L. Lauritzen | Issues of existence of maximum likelihood estimators in Gaussian graphical models |
| 19:00 | Drinks in Grey JCR followed by the Conference Dinner |
| Wednesday 9th July |
| 10:30 | Coffee/Tea |
| Chair: J. Besag |
| 11:15-12:05 | D.R. Cox | Derived variables and graphical models |
| 13:00 | Lunch |
| 15:30 | Coffee/Tea |
| Chair: A.P. Dawid |
| 16:00-16:30 | M. Goldstein | Bayes linear graphical models and computer simulators for complex physical systems
|
| 16:40-17:10 | D.A. Wooff | Bayes linear revision for plates |
| 17:20-17:50 | S.C. Shaw | Generalised Bayesian graphical modelling utilising Bayes linear kinematics |
| Thursday 10th July |
| Departure after breakfast |
