14th January 2008 
11:00 to 12:00 
J Jin 
Innovative higher criticism for detecting sparse signals in correlated noise 

16th January 2008 
11:00 to 12:00 
B Nan 
Hierarchically penalised Cox regression for censored data with grouped variables and its oracle property 

18th January 2008 
11:00 to 12:00 
M Pontil 
A spectral regularisation framework for multitask structure learning 

22nd January 2008 
11:00 to 12:00 
D Banks 
Statistical issues amd metabolomics 

24th January 2008 
11:00 to 12:00 
C Butucea 
Excess mass estimation 

24th January 2008 
15:00 to 17:00 
D Cook 
An informal introduction to sufficient dimension reduction 

25th January 2008 
11:00 to 12:00 
J Clarke 
An ensemble approach to improved prediction from multitype data 

29th January 2008 
11:00 to 12:30 
H Zhou 
Model selection and sharp asymptotic minimaxity 

31st January 2008 
09:00 to 10:00 
E Kirk 
High frequency micro structure in futures markets 

31st January 2008 
10:00 to 10:45 
C Rogers 
Choosing a portfolio of many assets 

31st January 2008 
11:00 to 12:00 
P Clarkson 
A database of foreign exchange deals 

5th February 2008 
11:00 to 12:00 
A Belabbas 
Approximation methods in statistical learning theory 

7th February 2008 
11:00 to 12:00 
N Lawrence 
Modelling human motion with Gaussian processes 

8th February 2008 
11:00 to 12:00 
A Caponnetto 
Properties of regularisation operators in learning theory 

12th February 2008 
11:00 to 12:00 
J Kent 
Procrustes methods for projective shape 

13th February 2008 
14:00 to 15:00 
YH Said 
Text mining and high dimensional statistical analysis 

15th February 2008 
11:00 to 12:00 
M Titterington 
An introduction to variational methods for incompletedata problems 

18th February 2008 
15:00 to 15:30 
K Heller 
Bayesian hierarchical clustering 

18th February 2008 
15:30 to 16:00 
Z Ghahramani 
Bayesian nonparametric latent feature models 

18th February 2008 
16:00 to 16:30 
R Silva 
New models for relational classification 

18th February 2008 
16:30 to 17:00 
E Snelson 
Gaussian process methods for large and highdimensional data sets 

19th February 2008 
11:00 to 12:00 
M Seeger 
Expectation Propagation  Experimental Design for the Sparse Linear M 

21st February 2008 
11:00 to 12:00 
M Cristianini 
Some statistical problems from artificial intelligence 

22nd February 2008 
11:00 to 12:00 
J Lafferty 
Functional sparsity 

26th February 2008 
11:00 to 12:00 
A Storkey 
Learning latent activites in large scale dynamical problems 

28th February 2008 
11:00 to 12:00 
E George 
Premodelling via BART 

29th February 2008 
11:00 to 12:00 
C Hennig 
Some thoughts about the design of dissimilarity measures 

4th March 2008 
11:00 to 12:00 
JQ Shi 
Gaussian process functional regression model for curve prediction and clustering 

6th March 2008 
11:00 to 12:00 
S Olhede 
Nonparametric estimation of HARDI diffusion weighted magnetic resonance imaging data 

11th March 2008 
11:00 to 12:00 
A Kovac 
Total variation and curves 

11th March 2008 
14:00 to 15:00 
L House 
Proteomics data analysis 

12th March 2008 
16:15 to 17:00 
M Titterington 
Some issues raised by high dimension in Statistics  a partial overview of the SCH Programme 

13th March 2008 
11:00 to 12:00 
I Dryden 
Multilevel modelling of proteomic massspectrometry data 

17th March 2008 
17:00 to 18:00 
D Donoho 
More unknowns than equations? Not a problem! Use Sparsity! 

18th March 2008 
11:00 to 12:00 
E Hancock 
Analysis of graphs using diffusion processes and random walks (a random walk through spectral graph theory) 

19th March 2008 
11:00 to 12:00 
J Whittaker 
Bootstrapping divergence weighted independence graphs 

26th March 2008 
11:00 to 12:00 
WH Teh 
Improvements to variational Bayesian inference 

27th March 2008 
11:00 to 12:00 
B Kleijn 
The semiparametric BernsteinVon Mises theorem 

8th April 2008 
11:00 to 12:00 
D Rubin 
Empirical efficiency maximisation: improved locally efficient covariate adjustment 

10th April 2008 
11:00 to 12:00 
C Taylor 
Boosting kernel estimates 

15th April 2008 
11:00 to 12:00 
C Hurley 
Data visualisation via pairwise displays 

17th April 2008 
11:00 to 12:00 
B Nadler 
Determining the number of factors in a linear mixture model from limited noisy data 

21st April 2008 
11:00 to 12:00 
J ShaweTaylor 
Spectra and generalisation 

22nd April 2008 
11:00 to 12:00 
NL Hjort 
Empirical likelihood with a growing number of parameters 

24th April 2008 
11:00 to 12:00 
C Robert 
A Bayesian reassessment of nearestneighbour classification 

29th April 2008 
11:00 to 12:00 
S Roweis 
Making the sky searchable: large scale astronomical pattern recognition 

30th April 2008 
11:00 to 12:00 
J Wellner 
Testing for sparse normal means: is there a signal? 

30th April 2008 
14:00 to 15:00 
D Cook 
Looking at data and models in highdimensional spaces: (1) Tools and tips for making good plots 

6th May 2008 
11:00 to 12:00 
F Bunea 
Nonasymptotic variable identification via the Lasso and the elastic net 

7th May 2008 
14:00 to 15:00 
D Cook 
Looking at data and models in highdimensional spaces: (2) How, when and why to use interactive and dynamic graphics 

8th May 2008 
11:00 to 12:00 
M Wegkamp 
Lasso type classifiers with a reject option 

13th May 2008 
11:00 to 12:00 
A Hero 
Entropic graphs for highdimensional data analysis 

14th May 2008 
11:00 to 12:00 
S Marron 
Object oriented data analysis 

14th May 2008 
14:00 to 15:00 
D Cook 
Looking at data and models in highdimensional spaces: (3) Determining significance of structure 

15th May 2008 
11:00 to 12:00 
I Murray 
Assessing highdimensional latent variable models 

19th May 2008 
16:40 to 17:10 
D Hand 
Frontiers in applications of data mining 

19th May 2008 
17:10 to 17:40 
C Bishop 
Frontiers in applications of machine learning 

19th May 2008 
17:40 to 18:30 
D Wallace 
Panel discussion 

20th May 2008 
11:00 to 12:00 
M Girolami 
On stratified path sampling of the thermodynamic integral: computing Bayes factors for nonlinear ODE models of biochemical pathways 

21st May 2008 
11:00 to 12:00 
A Maurer 
Slow subspace learning 

22nd May 2008 
11:00 to 12:00 
M Rattray 
Latent variable models of transcriptional regulation 

27th May 2008 
15:00 to 15:30 
B Gramacy 
On estimating covariances between many assets with histories of highly variable length 

27th May 2008 
15:30 to 16:00 
M Cule 
Nonparametric estimation of a logconcave density 

27th May 2008 
16:00 to 16:30 
R Silva 
Factorial mixture of Gaussians and the marginal independence model 

27th May 2008 
16:30 to 17:00 
D Spiegelhalter 
Understanding uncertainty 

28th May 2008 
11:00 to 12:00 
HG Mueller 
Functional regression and additive models 

29th May 2008 
11:00 to 12:00 
N Cristianini 
Learning curves: lessons from statistical machine translation 

3rd June 2008 
11:00 to 12:00 
PJ Wolfe 
On the approximation of quadratic forms and sparse matrix products 

5th June 2008 
11:00 to 12:00 
S Guillas 
Approximation of functional spatial regression models using bivariate splines 

6th June 2008 
11:00 to 12:00 
DW Nychka 
Challenges of regional climate modelling and validation 

10th June 2008 
11:00 to 12:00 
V Koltchinskii 
Sparse recovery in convex hulls based on entropy penalisation 

12th June 2008 
11:00 to 12:00 
A Rohde 
Confidence sets for the optimal approximating model  bridging a gap between adaptive point estimation and confidence regions 

17th June 2008 
11:00 to 12:00 
JC van Houwelingen 
Global testing of association and/or predictability in regression problems with p>>n predictors 
