Programme
All lectures take place in room CG93 (the Scarborough lecture theatre) in the Department of Mathematical Sciences on the Science Site. Coffee and Tea are served in CM103. Meals are taken at Grey College.
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 |