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14th January 2008 |
11:00 to 12:00 |
J Jin |
Innovative higher criticism for detecting sparse signals in correlated noise |
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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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18th January 2008 |
11:00 to 12:00 |
M Pontil |
A spectral regularisation framework for multi-task structure learning |
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22nd January 2008 |
11:00 to 12:00 |
D Banks |
Statistical issues amd metabolomics |
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24th January 2008 |
11:00 to 12:00 |
C Butucea |
Excess mass estimation |
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24th January 2008 |
15:00 to 17:00 |
D Cook |
An informal introduction to sufficient dimension reduction |
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25th January 2008 |
11:00 to 12:00 |
J Clarke |
An ensemble approach to improved prediction from multitype data |
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29th January 2008 |
11:00 to 12:30 |
H Zhou |
Model selection and sharp asymptotic minimaxity |
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31st January 2008 |
09:00 to 10:00 |
E Kirk |
High frequency micro structure in futures markets |
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31st January 2008 |
10:00 to 10:45 |
C Rogers |
Choosing a portfolio of many assets |
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31st January 2008 |
11:00 to 12:00 |
P Clarkson |
A database of foreign exchange deals |
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5th February 2008 |
11:00 to 12:00 |
A Belabbas |
Approximation methods in statistical learning theory |
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7th February 2008 |
11:00 to 12:00 |
N Lawrence |
Modelling human motion with Gaussian processes |
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8th February 2008 |
11:00 to 12:00 |
A Caponnetto |
Properties of regularisation operators in learning theory |
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12th February 2008 |
11:00 to 12:00 |
J Kent |
Procrustes methods for projective shape |
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13th February 2008 |
14:00 to 15:00 |
YH Said |
Text mining and high dimensional statistical analysis |
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15th February 2008 |
11:00 to 12:00 |
M Titterington |
An introduction to variational methods for incomplete-data problems |
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18th February 2008 |
15:00 to 15:30 |
K Heller |
Bayesian hierarchical clustering |
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18th February 2008 |
15:30 to 16:00 |
Z Ghahramani |
Bayesian nonparametric latent feature models |
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18th February 2008 |
16:00 to 16:30 |
R Silva |
New models for relational classification |
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18th February 2008 |
16:30 to 17:00 |
E Snelson |
Gaussian process methods for large and high-dimensional data sets |
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19th February 2008 |
11:00 to 12:00 |
M Seeger |
Expectation Propagation -- Experimental Design for the Sparse Linear M |
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21st February 2008 |
11:00 to 12:00 |
M Cristianini |
Some statistical problems from artificial intelligence |
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22nd February 2008 |
11:00 to 12:00 |
J Lafferty |
Functional sparsity |
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26th February 2008 |
11:00 to 12:00 |
A Storkey |
Learning latent activites in large scale dynamical problems |
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28th February 2008 |
11:00 to 12:00 |
E George |
Pre-modelling via BART |
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29th February 2008 |
11:00 to 12:00 |
C Hennig |
Some thoughts about the design of dissimilarity measures |
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4th March 2008 |
11:00 to 12:00 |
JQ Shi |
Gaussian process functional regression model for curve prediction and clustering |
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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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11th March 2008 |
11:00 to 12:00 |
A Kovac |
Total variation and curves |
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11th March 2008 |
14:00 to 15:00 |
L House |
Proteomics data analysis |
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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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13th March 2008 |
11:00 to 12:00 |
I Dryden |
Multilevel modelling of proteomic mass-spectrometry data |
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17th March 2008 |
17:00 to 18:00 |
D Donoho |
More unknowns than equations? Not a problem! Use Sparsity! |
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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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19th March 2008 |
11:00 to 12:00 |
J Whittaker |
Bootstrapping divergence weighted independence graphs |
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26th March 2008 |
11:00 to 12:00 |
WH Teh |
Improvements to variational Bayesian inference |
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27th March 2008 |
11:00 to 12:00 |
B Kleijn |
The semiparametric Bernstein-Von Mises theorem |
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8th April 2008 |
11:00 to 12:00 |
D Rubin |
Empirical efficiency maximisation: improved locally efficient covariate adjustment |
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10th April 2008 |
11:00 to 12:00 |
C Taylor |
Boosting kernel estimates |
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15th April 2008 |
11:00 to 12:00 |
C Hurley |
Data visualisation via pairwise displays |
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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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21st April 2008 |
11:00 to 12:00 |
J Shawe-Taylor |
Spectra and generalisation |
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22nd April 2008 |
11:00 to 12:00 |
NL Hjort |
Empirical likelihood with a growing number of parameters |
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24th April 2008 |
11:00 to 12:00 |
C Robert |
A Bayesian reassessment of nearest-neighbour classification |
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29th April 2008 |
11:00 to 12:00 |
S Roweis |
Making the sky searchable: large scale astronomical pattern recognition |
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30th April 2008 |
11:00 to 12:00 |
J Wellner |
Testing for sparse normal means: is there a signal? |
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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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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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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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8th May 2008 |
11:00 to 12:00 |
M Wegkamp |
Lasso type classifiers with a reject option |
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13th May 2008 |
11:00 to 12:00 |
A Hero |
Entropic graphs for high-dimensional data analysis |
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14th May 2008 |
11:00 to 12:00 |
S Marron |
Object oriented data analysis |
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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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15th May 2008 |
11:00 to 12:00 |
I Murray |
Assessing high-dimensional latent variable models |
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19th May 2008 |
16:40 to 17:10 |
D Hand |
Frontiers in applications of data mining |
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19th May 2008 |
17:10 to 17:40 |
C Bishop |
Frontiers in applications of machine learning |
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19th May 2008 |
17:40 to 18:30 |
D Wallace |
Panel discussion |
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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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21st May 2008 |
11:00 to 12:00 |
A Maurer |
Slow subspace learning |
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22nd May 2008 |
11:00 to 12:00 |
M Rattray |
Latent variable models of transcriptional regulation |
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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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27th May 2008 |
15:30 to 16:00 |
M Cule |
Nonparametric estimation of a log-concave density |
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27th May 2008 |
16:00 to 16:30 |
R Silva |
Factorial mixture of Gaussians and the marginal independence model |
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27th May 2008 |
16:30 to 17:00 |
D Spiegelhalter |
Understanding uncertainty |
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28th May 2008 |
11:00 to 12:00 |
HG Mueller |
Functional regression and additive models |
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29th May 2008 |
11:00 to 12:00 |
N Cristianini |
Learning curves: lessons from statistical machine translation |
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3rd June 2008 |
11:00 to 12:00 |
PJ Wolfe |
On the approximation of quadratic forms and sparse matrix products |
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5th June 2008 |
11:00 to 12:00 |
S Guillas |
Approximation of functional spatial regression models using bivariate splines |
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6th June 2008 |
11:00 to 12:00 |
DW Nychka |
Challenges of regional climate modelling and validation |
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10th June 2008 |
11:00 to 12:00 |
V Koltchinskii |
Sparse recovery in convex hulls based on entropy penalisation |
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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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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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