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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 |
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SCHW01 |
7th January 2008
11:30 to 12:30 |
S van de Geer |
The deterministic lasso |
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SCHW01 |
7th January 2008
14:00 to 15:00 |
E Wegman |
Methods for visualizing high dimensional data |
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SCHW01 |
7th January 2008
15:30 to 16:30 |
A Young |
Bootstrap and parametric inference: successes and challenges |
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SCHW01 |
8th January 2008
09:00 to 10:00 |
M Wainwright |
Practical and information-theoretic limitations in high-dimensional inference |
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SCHW01 |
8th January 2008
10:00 to 11:00 |
R Samworth |
Some thoughts on nonparametric classification: nearest neighbours, bagging and max likelihood estimation of shape-constrained densities |
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SCHW01 |
8th January 2008
11:30 to 12:30 |
RD Cook |
Model-based sufficient dimension reduction for regression |
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SCHW01 |
8th January 2008
14:00 to 15:00 |
M Jordan |
Kernel-based contrast functions for sufficient dimension reduction |
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SCHW01 |
8th January 2008
15:30 to 16:30 |
J Fan |
Challenge of dimensionality in model selection and classification |
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SCHW01 |
8th January 2008
16:30 to 17:30 |
P Bickel |
Regularised estimation of high dimensional covariance matrices |
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SCHW01 |
9th January 2008
09:00 to 10:00 |
F Murtagh |
The ultrametric topology perspective on analysis of massive, very high dimensional data stores |
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SCHW01 |
9th January 2008
10:00 to 11:00 |
L Duembgen |
P-values for computer-intensive classifiers |
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SCHW01 |
9th January 2008
11:30 to 12:30 |
W Stuetzle |
Nonparametric cluster analysis: estimating the cluster tree of a density |
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SCHW01 |
9th January 2008
14:00 to 15:00 |
M West |
Sparsity modelling in large-scale dynamic models for portfolio analysis |
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SCHW01 |
9th January 2008
15:30 to 16:30 |
E Candes |
Computationally tractable statistical estimation when there are more variables than observations |
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SCHW01 |
9th January 2008
16:30 to 17:30 |
B Nadler |
Learning in high dimensions, noise, sparsity and treelets |
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SCHW01 |
10th January 2008
09:00 to 10:00 |
AW van der Vaart |
Estimating a response parameter in missing data models with high-dimensional covariates |
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SCHW01 |
10th January 2008
10:00 to 11:00 |
J Wellner |
Persistence: alternative proofs of some results of Greenshtein and Ritov |
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SCHW01 |
10th January 2008
11:30 to 12:30 |
D Cook |
Looking at models in high-dimensional data spaces |
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SCHW01 |
10th January 2008
14:00 to 15:00 |
J Tanner |
The surprising structure of Gaussian point clouds and its implications for signal processing |
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SCHW01 |
10th January 2008
15:30 to 16:30 |
A Lee |
Finding low-dimensional structure in high-dimensional data |
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SCHW01 |
10th January 2008
16:30 to 17:30 |
P Niyogi |
A geometric perspective on learning theory and algorithms |
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SCHW01 |
11th January 2008
09:00 to 10:00 |
P Buehlmann |
High-dimensional variable selection and graphs: sparsity, faithfulness and stability |
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SCHW01 |
11th January 2008
10:00 to 11:00 |
E Mammen |
Time series regression with semiparametric factor dynamics |
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SCHW01 |
11th January 2008
11:30 to 12:30 |
B Y Yu |
Using side information for prediction |
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SCHW01 |
11th January 2008
14:00 to 15:00 |
D Hoyle |
A physicist's approach to high-dimensional inference |
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SCHW01 |
11th January 2008
15:30 to 16:30 |
B Clarke |
Models, model lists, model spaces and predictive optimality |
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SCH |
14th January 2008
11:00 to 12:00 |
J Jin |
Innovative higher criticism for detecting sparse signals in correlated noise |
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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 |
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SCH |
18th January 2008
11:00 to 12:00 |
M Pontil |
A spectral regularisation framework for multi-task structure learning |
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SCH |
22nd January 2008
11:00 to 12:00 |
D Banks |
Statistical issues amd metabolomics |
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SCH |
24th January 2008
11:00 to 12:00 |
C Butucea |
Excess mass estimation |
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SCH |
24th January 2008
15:00 to 17:00 |
D Cook |
An informal introduction to sufficient dimension reduction |
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SCH |
25th January 2008
11:00 to 12:00 |
J Clarke |
An ensemble approach to improved prediction from multitype data |
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SCH |
29th January 2008
11:00 to 12:30 |
H Zhou |
Model selection and sharp asymptotic minimaxity |
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SCH |
31st January 2008
09:00 to 10:00 |
E Kirk |
High frequency micro structure in futures markets |
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SCH |
31st January 2008
10:00 to 10:45 |
C Rogers |
Choosing a portfolio of many assets |
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SCH |
31st January 2008
11:00 to 12:00 |
P Clarkson |
A database of foreign exchange deals |
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SCH |
5th February 2008
11:00 to 12:00 |
A Belabbas |
Approximation methods in statistical learning theory |
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SCH |
7th February 2008
11:00 to 12:00 |
N Lawrence |
Modelling human motion with Gaussian processes |
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SCH |
8th February 2008
11:00 to 12:00 |
A Caponnetto |
Properties of regularisation operators in learning theory |
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SCH |
12th February 2008
11:00 to 12:00 |
J Kent |
Procrustes methods for projective shape |
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SCH |
13th February 2008
14:00 to 15:00 |
YH Said |
Text mining and high dimensional statistical analysis |
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SCH |
15th February 2008
11:00 to 12:00 |
M Titterington |
An introduction to variational methods for incomplete-data problems |
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SCH |
18th February 2008
15:00 to 15:30 |
K Heller |
Bayesian hierarchical clustering |
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SCH |
18th February 2008
15:30 to 16:00 |
Z Ghahramani |
Bayesian nonparametric latent feature models |
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SCH |
18th February 2008
16:00 to 16:30 |
R Silva |
New models for relational classification |
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SCH |
18th February 2008
16:30 to 17:00 |
E Snelson |
Gaussian process methods for large and high-dimensional data sets |
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SCH |
19th February 2008
11:00 to 12:00 |
M Seeger |
Expectation Propagation -- Experimental Design for the Sparse Linear M |
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SCH |
21st February 2008
11:00 to 12:00 |
M Cristianini |
Some statistical problems from artificial intelligence |
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SCH |
22nd February 2008
11:00 to 12:00 |
J Lafferty |
Functional sparsity |
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SCH |
26th February 2008
11:00 to 12:00 |
A Storkey |
Learning latent activites in large scale dynamical problems |
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SCH |
28th February 2008
11:00 to 12:00 |
E George |
Pre-modelling via BART |
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SCH |
29th February 2008
11:00 to 12:00 |
C Hennig |
Some thoughts about the design of dissimilarity measures |
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SCH |
4th March 2008
11:00 to 12:00 |
JQ Shi |
Gaussian process functional regression model for curve prediction and clustering |
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SCH |
6th March 2008
11:00 to 12:00 |
S Olhede |
Non-parametric estimation of HARDI diffusion weighted magnetic resonance imaging data |
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SCH |
11th March 2008
11:00 to 12:00 |
A Kovac |
Total variation and curves |
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SCH |
11th March 2008
14:00 to 15:00 |
L House |
Proteomics data analysis |
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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 |
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SCH |
13th March 2008
11:00 to 12:00 |
I Dryden |
Multilevel modelling of proteomic mass-spectrometry data |
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SCH |
17th March 2008
17:00 to 18:00 |
D Donoho |
More unknowns than equations? Not a problem! Use Sparsity! |
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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) |
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SCH |
19th March 2008
11:00 to 12:00 |
J Whittaker |
Bootstrapping divergence weighted independence graphs |
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SCH |
26th March 2008
11:00 to 12:00 |
WH Teh |
Improvements to variational Bayesian inference |
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SCH |
27th March 2008
11:00 to 12:00 |
B Kleijn |
The semiparametric Bernstein-Von Mises theorem |
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SCHW02 |
31st March 2008
10:00 to 11:00 |
E Birney |
The evolution of promoter sequence |
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SCHW02 |
31st March 2008
11:30 to 12:30 |
L Pachter |
Functional genomics and the forest of life |
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SCHW02 |
31st March 2008
14:00 to 15:00 |
S Brunak |
Understanding interactomes by data integration |
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SCHW02 |
31st March 2008
15:30 to 16:30 |
GJ McLachlan |
On mixture models in high-dimensional testing for the detection of differential gene expression |
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SCHW02 |
31st March 2008
16:30 to 17:30 |
E Margulies |
Statistical challenges in using comparative genomics for the identification of functional sequences |
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SCHW02 |
1st April 2008
09:00 to 10:00 |
M Hurles |
Structural variation in the human genome |
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SCHW02 |
1st April 2008
10:00 to 11:00 |
Y Benjamini |
Selective inference in complex research problems |
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SCHW02 |
1st April 2008
11:30 to 12:30 |
R Durbin |
Efficient use of population genome sequencing data |
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SCHW02 |
1st April 2008
14:00 to 15:00 |
M West |
Sparsity modelling in gene expression pathway studies |
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SCHW02 |
1st April 2008
15:30 to 16:30 |
M Dermitzakis |
Population genomics of human gene expression |
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SCHW02 |
2nd April 2008
09:00 to 10:00 |
A Enright |
Computational analysis and prediction of microRNA binding sites |
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SCHW02 |
2nd April 2008
10:00 to 11:00 |
P Bühlmann |
L1-regularisation, motif regression and ChIP-on-chip data analysis |
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SCHW02 |
2nd April 2008
11:30 to 12:30 |
W Huber |
Extraction and classification of cellular and genetic phenotypes from automated microscopy data |
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SCHW02 |
2nd April 2008
14:00 to 15:00 |
N Beerenwinkel |
Ultra-deep sequencing of mixed virus populations |
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SCHW02 |
3rd April 2008
09:00 to 10:00 |
E Segal |
Cracking the regulatory code: predicting expression patterns from DNA sequence |
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SCHW02 |
3rd April 2008
10:00 to 11:00 |
PJ Bickel |
Refined nonparametric methods for genomic inference |
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SCHW02 |
3rd April 2008
11:30 to 12:30 |
EM Marcotte |
Steps toward directed identification of disease genes: predicting the consequences of genetic perturbations |
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SCHW02 |
3rd April 2008
14:00 to 15:00 |
G Crawford |
High-resolution identification of active gene regulatory elements |
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SCHW02 |
3rd April 2008
15:30 to 16:30 |
ML Bulyk |
High-resolution binding specificity profiles of transcription factors and cis regulatory codes in DNA |
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SCHW02 |
4th April 2008
09:00 to 10:00 |
P Bertone |
Functional genomic approaches to stem cell biology |
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SCHW02 |
4th April 2008
10:00 to 11:00 |
G McVean |
Approximate genealogical inference |
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SCHW02 |
4th April 2008
11:30 to 12:30 |
N Luscombe |
Genomic principles for feedback regulation of metabolism |
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SCHW02 |
4th April 2008
14:00 to 15:00 |
H Huang |
A bayesian probabilistic approach to transform public microarray repositories into disease diagnosis databases |
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SCH |
8th April 2008
11:00 to 12:00 |
D Rubin |
Empirical efficiency maximisation: improved locally efficient covariate adjustment |
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SCH |
10th April 2008
11:00 to 12:00 |
C Taylor |
Boosting kernel estimates |
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SCH |
15th April 2008
11:00 to 12:00 |
C Hurley |
Data visualisation via pairwise displays |
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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 |
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SCH |
21st April 2008
11:00 to 12:00 |
J Shawe-Taylor |
Spectra and generalisation |
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SCH |
22nd April 2008
11:00 to 12:00 |
NL Hjort |
Empirical likelihood with a growing number of parameters |
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SCH |
24th April 2008
11:00 to 12:00 |
C Robert |
A Bayesian reassessment of nearest-neighbour classification |
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SCH |
29th April 2008
11:00 to 12:00 |
S Roweis |
Making the sky searchable: large scale astronomical pattern recognition |
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SCH |
30th April 2008
11:00 to 12:00 |
J Wellner |
Testing for sparse normal means: is there a signal? |
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SCH |
30th April 2008
14:00 to 15:00 |
D Cook |
Looking at data and models in high-dimensional spaces: (1) Tools and tips for making good plots |
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SCH |
6th May 2008
11:00 to 12:00 |
F Bunea |
Non-asymptotic variable identification via the Lasso and the elastic net |
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SCH |
7th May 2008
14:00 to 15:00 |
D Cook |
Looking at data and models in high-dimensional spaces: (2) How, when and why to use interactive and dynamic graphics |
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SCH |
8th May 2008
11:00 to 12:00 |
M Wegkamp |
Lasso type classifiers with a reject option |
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SCH |
13th May 2008
11:00 to 12:00 |
A Hero |
Entropic graphs for high-dimensional data analysis |
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SCH |
14th May 2008
11:00 to 12:00 |
S Marron |
Object oriented data analysis |
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SCH |
14th May 2008
14:00 to 15:00 |
D Cook |
Looking at data and models in high-dimensional spaces: (3) Determining significance of structure |
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SCH |
15th May 2008
11:00 to 12:00 |
I Murray |
Assessing high-dimensional latent variable models |
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SCH |
19th May 2008
16:40 to 17:10 |
D Hand |
Frontiers in applications of data mining |
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SCH |
19th May 2008
17:10 to 17:40 |
C Bishop |
Frontiers in applications of machine learning |
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SCH |
19th May 2008
17:40 to 18:30 |
D Wallace |
Panel discussion |
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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 |
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SCH |
21st May 2008
11:00 to 12:00 |
A Maurer |
Slow subspace learning |
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SCH |
22nd May 2008
11:00 to 12:00 |
M Rattray |
Latent variable models of transcriptional regulation |
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SCH |
27th May 2008
15:00 to 15:30 |
B Gramacy |
On estimating covariances between many assets with histories of highly variable length |
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SCH |
27th May 2008
15:30 to 16:00 |
M Cule |
Nonparametric estimation of a log-concave density |
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SCH |
27th May 2008
16:00 to 16:30 |
R Silva |
Factorial mixture of Gaussians and the marginal independence model |
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SCH |
27th May 2008
16:30 to 17:00 |
D Spiegelhalter |
Understanding uncertainty |
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SCH |
28th May 2008
11:00 to 12:00 |
HG Mueller |
Functional regression and additive models |
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SCH |
29th May 2008
11:00 to 12:00 |
N Cristianini |
Learning curves: lessons from statistical machine translation |
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SCH |
3rd June 2008
11:00 to 12:00 |
PJ Wolfe |
On the approximation of quadratic forms and sparse matrix products |
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SCH |
5th June 2008
11:00 to 12:00 |
S Guillas |
Approximation of functional spatial regression models using bivariate splines |
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SCH |
6th June 2008
11:00 to 12:00 |
DW Nychka |
Challenges of regional climate modelling and validation |
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SCH |
10th June 2008
11:00 to 12:00 |
V Koltchinskii |
Sparse recovery in convex hulls based on entropy penalisation |
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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 |
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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 |
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SCHW05 |
18th June 2008
14:00 to 15:00 |
S Godsill |
Sequential inference for dynamically evolving groups of objects |
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SCHW05 |
18th June 2008
15:30 to 16:10 |
Y Cai |
A Bayesian method for non-Gaussian autoregressive quantile function time series models |
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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 |
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SCHW05 |
18th June 2008
16:50 to 17:30 |
N Whiteley |
A modern perspective on auxiliary particle filters |
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SCHW05 |
19th June 2008
09:00 to 09:40 |
VA Reisen |
Estimating multiple fractional seasonal long-memory parameter |
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SCHW05 |
19th June 2008
09:40 to 10:20 |
Y Shen |
Variational Markov Chain Monte Carlo for inference in partially observed stochastic dynamic systems |
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SCHW05 |
19th June 2008
10:20 to 11:00 |
R Turner |
Two problems with variational expectation maximisation for time-series models |
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SCHW05 |
19th June 2008
11:30 to 12:30 |
M Opper |
Approximate Inference for Continuous Time Markov Processes |
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SCHW05 |
19th June 2008
14:00 to 15:00 |
S Singh |
Recent applications of spatial point processes to multiple-object tracking |
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SCHW05 |
19th June 2008
15:20 to 16:00 |
R Kondor |
Multi-object tracking with representations of the symmetric group |
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SCHW05 |
19th June 2008
16:00 to 17:00 |
C Williams |
Factorial switching linear dynamical systems for physiological condition monitoring |
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SCHW05 |
19th June 2008
17:00 to 17:30 |
S Roberts |
Bayesian Gaussian process models for multi-sensor time-series prediction |
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SCHW05 |
20th June 2008
09:00 to 09:40 |
GJ McLachlan |
Clustering of time course gene-expression data via mixture regression models |
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SCHW05 |
20th June 2008
09:40 to 10:20 |
MK Titsias |
Markov chain Monte Carlo algorithms for Gaussian processes |
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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 |
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SCHW05 |
20th June 2008
11:30 to 12:30 |
E Moulines |
Adaptive Monte Carlo Markov Chains |
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SCHW05 |
20th June 2008
14:00 to 15:00 |
O Papaspiliopoulos |
A methodological framework for Monte Carlo estimation of continuous-time processes |
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SCHW05 |
20th June 2008
15:30 to 16:10 |
A Sykulski & SC Olhede |
High frequency variability and microstructure bias |
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SCHW05 |
20th June 2008
16:10 to 17:10 |
Z Ghahramani |
Nonparametric Bayesian times series models: infinite HMMs and beyond |
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SCHW03 |
23rd June 2008
10:00 to 11:00 |
PG Hall |
Variable selection in very high dimensional regression and classification |
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SCHW03 |
23rd June 2008
11:30 to 12:30 |
U Gather |
Dimension reduction |
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SCHW03 |
23rd June 2008
14:00 to 15:00 |
N Meinshausen |
Stability - based regularisation |
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SCHW03 |
23rd June 2008
15:30 to 16:30 |
T Cai |
Large-scale multiple testing: finding needles in a haystack |
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SCHW03 |
24th June 2008
09:00 to 10:00 |
J van Houwelingen |
Fitting survival models with P>>n predictors: beyond proportional hazards |
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SCHW03 |
24th June 2008
10:00 to 11:00 |
MY Yuan |
Model selection and estimation with multiple reproducing Karnel Hilbert spaces |
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SCHW03 |
24th June 2008
11:30 to 12:30 |
A Tsybakov |
Sparsity oracle inequalities |
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SCHW03 |
24th June 2008
14:00 to 14:20 |
E Airoldi |
The exchangeable graph model for statistical network analysis |
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SCHW03 |
24th June 2008
14:20 to 14:40 |
M West |
Data, models, inference and computation for dynamic cellular networks in systems biology |
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SCHW03 |
24th June 2008
14:40 to 15:00 |
E Xing |
Statistical network analysis and inference: methods and applications |
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SCHW03 |
24th June 2008
15:30 to 16:30 |
E Wit |
High dimensional inference in bioinformatics and genomics |
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SCHW03 |
24th June 2008
16:30 to 17:30 |
KC Li |
Liquid association for large scale gene expression and network studies |
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SCHW03 |
25th June 2008
09:00 to 10:00 |
R Tibshirani |
The Lasso: some novel algorithms and applications |
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SCHW03 |
25th June 2008
10:00 to 11:00 |
JS Shawe-Taylor |
Sparsity in machine Learning: approaches and analyses |
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SCHW03 |
25th June 2008
11:30 to 12:30 |
A Owen |
Transposably invariant sample reuse: the pigeonhole bootstrap and blockwise cross-validation |
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SCHW03 |
26th June 2008
09:00 to 10:00 |
J-L Wang |
Covariate adjusted functional principal component analysis for longitudinal data |
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SCHW03 |
26th June 2008
10:00 to 11:00 |
V Koltchinskii |
Penalized empirical risk minimization and sparse recovery problems |
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SCHW03 |
26th June 2008
11:30 to 12:30 |
P Wolfe |
The Nystrom extension and spectral methods in learning: low-rank approximation of quadratic forms and products |
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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 |
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SCHW03 |
26th June 2008
14:20 to 14:40 |
JQ Shi |
Generalised gaussian process functional regression model |
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SCHW03 |
26th June 2008
14:40 to 15:00 |
Y Wang |
Estimation of large volatility matrix for high-frequency financial data |
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SCHW03 |
26th June 2008
15:30 to 16:30 |
D Barber |
Graph decomposition for community identification and covariance constraints |
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SCHW03 |
26th June 2008
16:30 to 17:30 |
E Levina |
Permutation-invariant covariance regularisation in high dimensions |
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SCHW03 |
27th June 2008
09:00 to 09:20 |
IS Helland |
Optimal prediction from relevant components |
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SCHW03 |
27th June 2008
09:20 to 09:40 |
I Koch |
Dimension selection with independent component analysis and its application to prediction |
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SCHW03 |
27th June 2008
09:40 to 10:00 |
L Li |
Model free variable selection via sufficient dimension reduction |
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SCHW03 |
27th June 2008
10:00 to 11:00 |
J Robins |
Estimation of nonlinear functionals: recent results and open problems |
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SCHW03 |
27th June 2008
11:30 to 12:30 |
MW Seeger |
Applications of approximate inference and experimental design for sparse (generalised) linear models |
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SCHW03 |
27th June 2008
14:00 to 15:00 |
J Rice |
Statistics in astronomy: the Taiwanese-American occultation survey |
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