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SCHW01 |
7th January 2008
10:00 to 11:00 |
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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 |
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The deterministic lasso |
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SCHW01 |
7th January 2008
14:00 to 15:00 |
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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 |
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Practical and information-theoretic limitations in high-dimensional inference |
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SCHW01 |
8th January 2008
10:00 to 11:00 |
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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 |
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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 |
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Computationally tractable statistical estimation when there are more variables than observations |
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SCHW01 |
9th January 2008
16:30 to 17:30 |
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Learning in high dimensions, noise, sparsity and treelets |
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SCHW01 |
10th January 2008
09:00 to 10:00 |
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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 |
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Persistence: alternative proofs of some results of Greenshtein and Ritov |
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SCHW01 |
10th January 2008
11:30 to 12:30 |
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Looking at models in high-dimensional data spaces |
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SCHW01 |
10th January 2008
14:00 to 15:00 |
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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 |
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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 |
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High-dimensional variable selection and graphs: sparsity, faithfulness and stability |
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SCHW01 |
11th January 2008
10:00 to 11:00 |
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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 |
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A physicist's approach to high-dimensional inference |
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SCHW01 |
11th January 2008
15:30 to 16:30 |
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Models, model lists, model spaces and predictive optimality |
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SCH |
14th January 2008
11:00 to 12:00 |
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Innovative higher criticism for detecting sparse signals in correlated noise |
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SCH |
16th January 2008
11:00 to 12:00 |
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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 |
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Statistical issues amd metabolomics |
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SCH |
24th January 2008
11:00 to 12:00 |
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Excess mass estimation |
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SCH |
24th January 2008
15:00 to 17:00 |
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An informal introduction to sufficient dimension reduction |
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SCH |
25th January 2008
11:00 to 12:00 |
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An ensemble approach to improved prediction from multitype data |
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SCH |
29th January 2008
11:00 to 12:30 |
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Model selection and sharp asymptotic minimaxity |
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SCH |
31st January 2008
09:00 to 10:00 |
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High frequency micro structure in futures markets |
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SCH |
31st January 2008
10:00 to 10:45 |
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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 |
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Approximation methods in statistical learning theory |
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SCH |
7th February 2008
11:00 to 12:00 |
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Modelling human motion with Gaussian processes |
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SCH |
8th February 2008
11:00 to 12:00 |
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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 |
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An introduction to variational methods for incomplete-data problems |
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SCH |
18th February 2008
15:00 to 15:30 |
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Bayesian hierarchical clustering |
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SCH |
18th February 2008
15:30 to 16:00 |
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Bayesian nonparametric latent feature models |
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SCH |
18th February 2008
16:00 to 16:30 |
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New models for relational classification |
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SCH |
18th February 2008
16:30 to 17:00 |
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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 |
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Some statistical problems from artificial intelligence |
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SCH |
22nd February 2008
11:00 to 12:00 |
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Functional sparsity |
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SCH |
26th February 2008
11:00 to 12:00 |
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Learning latent activites in large scale dynamical problems |
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SCH |
28th February 2008
11:00 to 12:00 |
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Pre-modelling via BART |
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SCH |
29th February 2008
11:00 to 12:00 |
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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 |
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Non-parametric estimation of HARDI diffusion weighted magnetic resonance imaging data |
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SCH |
11th March 2008
11:00 to 12:00 |
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Total variation and curves |
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SCH |
11th March 2008
14:00 to 15:00 |
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Proteomics data analysis |
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SCH |
12th March 2008
16:15 to 17:00 |
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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 |
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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 |
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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 |
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The evolution of promoter sequence |
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SCHW02 |
31st March 2008
11:30 to 12:30 |
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Functional genomics and the forest of life |
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SCHW02 |
31st March 2008
14:00 to 15:00 |
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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 |
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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 |
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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 |
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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 |
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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 |
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L1-regularisation, motif regression and ChIP-on-chip data analysis |
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SCHW02 |
2nd April 2008
11:30 to 12:30 |
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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 |
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Ultra-deep sequencing of mixed virus populations |
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SCHW02 |
3rd April 2008
09:00 to 10:00 |
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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 |
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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 |
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High-resolution identification of active gene regulatory elements |
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SCHW02 |
3rd April 2008
15:30 to 16:30 |
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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 |
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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 |
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Genomic principles for feedback regulation of metabolism |
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SCHW02 |
4th April 2008
14:00 to 15:00 |
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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 |
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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 |
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Data visualisation via pairwise displays |
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SCH |
17th April 2008
11:00 to 12:00 |
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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 |
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Spectra and generalisation |
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SCH |
22nd April 2008
11:00 to 12:00 |
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Empirical likelihood with a growing number of parameters |
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SCH |
24th April 2008
11:00 to 12:00 |
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A Bayesian reassessment of nearest-neighbour classification |
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SCH |
29th April 2008
11:00 to 12:00 |
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Making the sky searchable: large scale astronomical pattern recognition |
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SCH |
30th April 2008
11:00 to 12:00 |
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Testing for sparse normal means: is there a signal? |
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SCH |
30th April 2008
14:00 to 15:00 |
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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 |
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Non-asymptotic variable identification via the Lasso and the elastic net |
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SCH |
7th May 2008
14:00 to 15:00 |
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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 |
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Object oriented data analysis |
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SCH |
14th May 2008
14:00 to 15:00 |
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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 |
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Assessing high-dimensional latent variable models |
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SCH |
19th May 2008
16:40 to 17:10 |
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Frontiers in applications of data mining |
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SCH |
19th May 2008
17:10 to 17:40 |
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Frontiers in applications of machine learning |
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SCH |
19th May 2008
17:40 to 18:30 |
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Panel discussion |
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SCH |
20th May 2008
11:00 to 12:00 |
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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 |
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Slow subspace learning |
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SCH |
22nd May 2008
11:00 to 12:00 |
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Latent variable models of transcriptional regulation |
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SCH |
27th May 2008
15:00 to 15:30 |
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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 |
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Nonparametric estimation of a log-concave density |
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SCH |
27th May 2008
16:00 to 16:30 |
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Factorial mixture of Gaussians and the marginal independence model |
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SCH |
27th May 2008
16:30 to 17:00 |
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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 |
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On the approximation of quadratic forms and sparse matrix products |
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SCH |
5th June 2008
11:00 to 12:00 |
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Approximation of functional spatial regression models using bivariate splines |
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SCH |
6th June 2008
11:00 to 12:00 |
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Challenges of regional climate modelling and validation |
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SCH |
10th June 2008
11:00 to 12:00 |
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Sparse recovery in convex hulls based on entropy penalisation |
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SCH |
12th June 2008
11:00 to 12:00 |
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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 |
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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 |
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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 |
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Recent applications of spatial point processes to multiple-object tracking |
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SCHW05 |
19th June 2008
15:20 to 16:00 |
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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 |
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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 |
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Markov chain Monte Carlo algorithms for Gaussian processes |
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SCHW05 |
20th June 2008
10:20 to 11:00 |
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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 |
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High frequency variability and microstructure bias |
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SCHW05 |
20th June 2008
16:10 to 17:10 |
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Nonparametric Bayesian times series models: infinite HMMs and beyond |
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SCHW03 |
23rd June 2008
10:00 to 11:00 |
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Variable selection in very high dimensional regression and classification |
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SCHW03 |
23rd June 2008
11:30 to 12:30 |
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Dimension reduction |
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SCHW03 |
23rd June 2008
14:00 to 15:00 |
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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 |
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Fitting survival models with P>>n predictors: beyond proportional hazards |
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SCHW03 |
24th June 2008
10:00 to 11:00 |
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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 |
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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 |
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Statistical network analysis and inference: methods and applications |
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SCHW03 |
24th June 2008
15:30 to 16:30 |
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High dimensional inference in bioinformatics and genomics |
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SCHW03 |
24th June 2008
16:30 to 17:30 |
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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 |
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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 |
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Penalized empirical risk minimization and sparse recovery problems |
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SCHW03 |
26th June 2008
11:30 to 12:30 |
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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 |
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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 |
|
Estimation of large volatility matrix for high-frequency financial data |
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SCHW03 |
26th June 2008
15:30 to 16:30 |
|
Graph decomposition for community identification and covariance constraints |
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SCHW03 |
26th June 2008
16:30 to 17:30 |
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Permutation-invariant covariance regularisation in high dimensions |
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SCHW03 |
27th June 2008
09:00 to 09:20 |
|
Optimal prediction from relevant components |
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SCHW03 |
27th June 2008
09:20 to 09:40 |
|
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 |
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Estimation of nonlinear functionals: recent results and open problems |
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SCHW03 |
27th June 2008
11:30 to 12:30 |
|
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 |
|
Statistics in astronomy: the Taiwanese-American occultation survey |
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