SCHW01 
7th January 2008
10:00 to 11:00 
D Donoho 
Breakdown point of model selection when the number of variables exceeds the number of observations 

SCHW01 
7th January 2008
11:30 to 12:30 
S van de Geer 
The deterministic lasso 

SCHW01 
7th January 2008
14:00 to 15:00 
E Wegman 
Methods for visualizing high dimensional data 

SCHW01 
7th January 2008
15:30 to 16:30 
A Young 
Bootstrap and parametric inference: successes and challenges 

SCHW01 
8th January 2008
09:00 to 10:00 
M Wainwright 
Practical and informationtheoretic limitations in highdimensional inference 

SCHW01 
8th January 2008
10:00 to 11:00 
R Samworth 
Some thoughts on nonparametric classification: nearest neighbours, bagging and max likelihood estimation of shapeconstrained densities 

SCHW01 
8th January 2008
11:30 to 12:30 
RD Cook 
Modelbased sufficient dimension reduction for regression 

SCHW01 
8th January 2008
14:00 to 15:00 
M Jordan 
Kernelbased contrast functions for sufficient dimension reduction 

SCHW01 
8th January 2008
15:30 to 16:30 
J Fan 
Challenge of dimensionality in model selection and classification 

SCHW01 
8th January 2008
16:30 to 17:30 
P Bickel 
Regularised estimation of high dimensional covariance matrices 

SCHW01 
9th January 2008
09:00 to 10:00 
F Murtagh 
The ultrametric topology perspective on analysis of massive, very high dimensional data stores 

SCHW01 
9th January 2008
10:00 to 11:00 
L Duembgen 
Pvalues for computerintensive classifiers 

SCHW01 
9th January 2008
11:30 to 12:30 
W Stuetzle 
Nonparametric cluster analysis: estimating the cluster tree of a density 

SCHW01 
9th January 2008
14:00 to 15:00 
M West 
Sparsity modelling in largescale dynamic models for portfolio analysis 

SCHW01 
9th January 2008
15:30 to 16:30 
E Candes 
Computationally tractable statistical estimation when there are more variables than observations 

SCHW01 
9th January 2008
16:30 to 17:30 
B Nadler 
Learning in high dimensions, noise, sparsity and treelets 

SCHW01 
10th January 2008
09:00 to 10:00 
AW van der Vaart 
Estimating a response parameter in missing data models with highdimensional covariates 

SCHW01 
10th January 2008
10:00 to 11:00 
J Wellner 
Persistence: alternative proofs of some results of Greenshtein and Ritov 

SCHW01 
10th January 2008
11:30 to 12:30 
D Cook 
Looking at models in highdimensional data spaces 

SCHW01 
10th January 2008
14:00 to 15:00 
J Tanner 
The surprising structure of Gaussian point clouds and its implications for signal processing 

SCHW01 
10th January 2008
15:30 to 16:30 
A Lee 
Finding lowdimensional structure in highdimensional data 

SCHW01 
10th January 2008
16:30 to 17:30 
P Niyogi 
A geometric perspective on learning theory and algorithms 

SCHW01 
11th January 2008
09:00 to 10:00 
P Buehlmann 
Highdimensional variable selection and graphs: sparsity, faithfulness and stability 

SCHW01 
11th January 2008
10:00 to 11:00 
E Mammen 
Time series regression with semiparametric factor dynamics 

SCHW01 
11th January 2008
11:30 to 12:30 
B Y Yu 
Using side information for prediction 

SCHW01 
11th January 2008
14:00 to 15:00 
D Hoyle 
A physicist's approach to highdimensional inference 

SCHW01 
11th January 2008
15:30 to 16:30 
B Clarke 
Models, model lists, model spaces and predictive optimality 

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

SCH 
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 

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

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

SCH 
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) 

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

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

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

SCHW02 
31st March 2008
10:00 to 11:00 
E Birney 
The evolution of promoter sequence 

SCHW02 
31st March 2008
11:30 to 12:30 
L Pachter 
Functional genomics and the forest of life 

SCHW02 
31st March 2008
14:00 to 15:00 
S Brunak 
Understanding interactomes by data integration 

SCHW02 
31st March 2008
15:30 to 16:30 
GJ McLachlan 
On mixture models in highdimensional testing for the detection of differential gene expression 

SCHW02 
31st March 2008
16:30 to 17:30 
E Margulies 
Statistical challenges in using comparative genomics for the identification of functional sequences 

SCHW02 
1st April 2008
09:00 to 10:00 
M Hurles 
Structural variation in the human genome 

SCHW02 
1st April 2008
10:00 to 11:00 
Y Benjamini 
Selective inference in complex research problems 

SCHW02 
1st April 2008
11:30 to 12:30 
R Durbin 
Efficient use of population genome sequencing data 

SCHW02 
1st April 2008
14:00 to 15:00 
M West 
Sparsity modelling in gene expression pathway studies 

SCHW02 
1st April 2008
15:30 to 16:30 
M Dermitzakis 
Population genomics of human gene expression 

SCHW02 
2nd April 2008
09:00 to 10:00 
A Enright 
Computational analysis and prediction of microRNA binding sites 

SCHW02 
2nd April 2008
10:00 to 11:00 
P Bühlmann 
L1regularisation, motif regression and ChIPonchip data analysis 

SCHW02 
2nd April 2008
11:30 to 12:30 
W Huber 
Extraction and classification of cellular and genetic phenotypes from automated microscopy data 

SCHW02 
2nd April 2008
14:00 to 15:00 
N Beerenwinkel 
Ultradeep sequencing of mixed virus populations 

SCHW02 
3rd April 2008
09:00 to 10:00 
E Segal 
Cracking the regulatory code: predicting expression patterns from DNA sequence 

SCHW02 
3rd April 2008
10:00 to 11:00 
PJ Bickel 
Refined nonparametric methods for genomic inference 

SCHW02 
3rd April 2008
11:30 to 12:30 
EM Marcotte 
Steps toward directed identification of disease genes: predicting the consequences of genetic perturbations 

SCHW02 
3rd April 2008
14:00 to 15:00 
G Crawford 
Highresolution identification of active gene regulatory elements 

SCHW02 
3rd April 2008
15:30 to 16:30 
ML Bulyk 
Highresolution binding specificity profiles of transcription factors and cis regulatory codes in DNA 

SCHW02 
4th April 2008
09:00 to 10:00 
P Bertone 
Functional genomic approaches to stem cell biology 

SCHW02 
4th April 2008
10:00 to 11:00 
G McVean 
Approximate genealogical inference 

SCHW02 
4th April 2008
11:30 to 12:30 
N Luscombe 
Genomic principles for feedback regulation of metabolism 

SCHW02 
4th April 2008
14:00 to 15:00 
H Huang 
A bayesian probabilistic approach to transform public microarray repositories into disease diagnosis databases 

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

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

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

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

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

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

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

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

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

SCH 
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 

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

SCH 
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 

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

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

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

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

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

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

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

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

SCH 
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 

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

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

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

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

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

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

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

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

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

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

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

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

SCH 
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 

SCH 
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 

SCHW05 
18th June 2008
14:00 to 15:00 
S Godsill 
Sequential inference for dynamically evolving groups of objects 

SCHW05 
18th June 2008
15:30 to 16:10 
Y Cai 
A Bayesian method for nonGaussian autoregressive quantile function time series models 

SCHW05 
18th June 2008
16:10 to 16:50 
X Luo 
State estimation in high dimensional systems: the method of the ensemble unscented Kalman filter 

SCHW05 
18th June 2008
16:50 to 17:30 
N Whiteley 
A modern perspective on auxiliary particle filters 

SCHW05 
19th June 2008
09:00 to 09:40 
VA Reisen 
Estimating multiple fractional seasonal longmemory parameter 

SCHW05 
19th June 2008
09:40 to 10:20 
Y Shen 
Variational Markov Chain Monte Carlo for inference in partially observed stochastic dynamic systems 

SCHW05 
19th June 2008
10:20 to 11:00 
R Turner 
Two problems with variational expectation maximisation for timeseries models 

SCHW05 
19th June 2008
11:30 to 12:30 
M Opper 
Approximate Inference for Continuous Time Markov Processes 

SCHW05 
19th June 2008
14:00 to 15:00 
S Singh 
Recent applications of spatial point processes to multipleobject tracking 

SCHW05 
19th June 2008
15:20 to 16:00 
R Kondor 
Multiobject tracking with representations of the symmetric group 

SCHW05 
19th June 2008
16:00 to 17:00 
C Williams 
Factorial switching linear dynamical systems for physiological condition monitoring 

SCHW05 
19th June 2008
17:00 to 17:30 
S Roberts 
Bayesian Gaussian process models for multisensor timeseries prediction 

SCHW05 
20th June 2008
09:00 to 09:40 
GJ McLachlan 
Clustering of time course geneexpression data via mixture regression models 

SCHW05 
20th June 2008
09:40 to 10:20 
MK Titsias 
Markov chain Monte Carlo algorithms for Gaussian processes 

SCHW05 
20th June 2008
10:20 to 11:00 
J Aston 
Is that really the pattern we're looking for? Bridging the gap between statistical uncertainty and dynamic programming algorithms 

SCHW05 
20th June 2008
11:30 to 12:30 
E Moulines 
Adaptive Monte Carlo Markov Chains 

SCHW05 
20th June 2008
14:00 to 15:00 
O Papaspiliopoulos 
A methodological framework for Monte Carlo estimation of continuoustime processes 

SCHW05 
20th June 2008
15:30 to 16:10 
A Sykulski & SC Olhede 
High frequency variability and microstructure bias 

SCHW05 
20th June 2008
16:10 to 17:10 
Z Ghahramani 
Nonparametric Bayesian times series models: infinite HMMs and beyond 

SCHW03 
23rd June 2008
10:00 to 11:00 
PG Hall 
Variable selection in very high dimensional regression and classification 

SCHW03 
23rd June 2008
11:30 to 12:30 
U Gather 
Dimension reduction 

SCHW03 
23rd June 2008
14:00 to 15:00 
N Meinshausen 
Stability  based regularisation 

SCHW03 
23rd June 2008
15:30 to 16:30 
T Cai 
Largescale multiple testing: finding needles in a haystack 

SCHW03 
24th June 2008
09:00 to 10:00 
J van Houwelingen 
Fitting survival models with P>>n predictors: beyond proportional hazards 

SCHW03 
24th June 2008
10:00 to 11:00 
MY Yuan 
Model selection and estimation with multiple reproducing Karnel Hilbert spaces 

SCHW03 
24th June 2008
11:30 to 12:30 
A Tsybakov 
Sparsity oracle inequalities 

SCHW03 
24th June 2008
14:00 to 14:20 
E Airoldi 
The exchangeable graph model for statistical network analysis 

SCHW03 
24th June 2008
14:20 to 14:40 
M West 
Data, models, inference and computation for dynamic cellular networks in systems biology 

SCHW03 
24th June 2008
14:40 to 15:00 
E Xing 
Statistical network analysis and inference: methods and applications 

SCHW03 
24th June 2008
15:30 to 16:30 
E Wit 
High dimensional inference in bioinformatics and genomics 

SCHW03 
24th June 2008
16:30 to 17:30 
KC Li 
Liquid association for large scale gene expression and network studies 

SCHW03 
25th June 2008
09:00 to 10:00 
R Tibshirani 
The Lasso: some novel algorithms and applications 

SCHW03 
25th June 2008
10:00 to 11:00 
JS ShaweTaylor 
Sparsity in machine Learning: approaches and analyses 

SCHW03 
25th June 2008
11:30 to 12:30 
A Owen 
Transposably invariant sample reuse: the pigeonhole bootstrap and blockwise crossvalidation 

SCHW03 
26th June 2008
09:00 to 10:00 
JL Wang 
Covariate adjusted functional principal component analysis for longitudinal data 

SCHW03 
26th June 2008
10:00 to 11:00 
V Koltchinskii 
Penalized empirical risk minimization and sparse recovery problems 

SCHW03 
26th June 2008
11:30 to 12:30 
P Wolfe 
The Nystrom extension and spectral methods in learning: lowrank approximation of quadratic forms and products 

SCHW03 
26th June 2008
14:00 to 14:20 
G Pan 
Limiting theorems for large dimensional sample means, sample covariance matrices and Hotelling's T2 statistics 

SCHW03 
26th June 2008
14:20 to 14:40 
JQ Shi 
Generalised gaussian process functional regression model 

SCHW03 
26th June 2008
14:40 to 15:00 
Y Wang 
Estimation of large volatility matrix for highfrequency financial data 

SCHW03 
26th June 2008
15:30 to 16:30 
D Barber 
Graph decomposition for community identification and covariance constraints 

SCHW03 
26th June 2008
16:30 to 17:30 
E Levina 
Permutationinvariant covariance regularisation in high dimensions 

SCHW03 
27th June 2008
09:00 to 09:20 
IS Helland 
Optimal prediction from relevant components 

SCHW03 
27th June 2008
09:20 to 09:40 
I Koch 
Dimension selection with independent component analysis and its application to prediction 

SCHW03 
27th June 2008
09:40 to 10:00 
L Li 
Model free variable selection via sufficient dimension reduction 

SCHW03 
27th June 2008
10:00 to 11:00 
J Robins 
Estimation of nonlinear functionals: recent results and open problems 

SCHW03 
27th June 2008
11:30 to 12:30 
MW Seeger 
Applications of approximate inference and experimental design for sparse (generalised) linear models 

SCHW03 
27th June 2008
14:00 to 15:00 
J Rice 
Statistics in astronomy: the TaiwaneseAmerican occultation survey 
