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Seminars (SCH)

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Event When Speaker Title Presentation Material
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 information-theoretic limitations in high-dimensional 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 shape-constrained densities
SCHW01 8th January 2008
11:30 to 12:30
RD Cook Model-based sufficient dimension reduction for regression
SCHW01 8th January 2008
14:00 to 15:00
M Jordan Kernel-based 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 P-values for computer-intensive 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 large-scale 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 high-dimensional 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 high-dimensional 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 low-dimensional structure in high-dimensional 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 High-dimensional 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 high-dimensional 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 multi-task 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 incomplete-data 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 high-dimensional 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 Pre-modelling 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 Non-parametric 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 mass-spectrometry 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 Bernstein-Von 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 high-dimensional 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 L1-regularisation, motif regression and ChIP-on-chip 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 Ultra-deep 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 High-resolution identification of active gene regulatory elements
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
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 Shawe-Taylor 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 nearest-neighbour 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 high-dimensional spaces: (1) Tools and tips for making good plots
SCH 6th May 2008
11:00 to 12:00
F Bunea Non-asymptotic 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 high-dimensional 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 high-dimensional 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 high-dimensional spaces: (3) Determining significance of structure
SCH 15th May 2008
11:00 to 12:00
I Murray Assessing high-dimensional 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 log-concave 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 non-Gaussian 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 long-memory 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 time-series 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 multiple-object tracking
SCHW05 19th June 2008
15:20 to 16:00
R Kondor Multi-object 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 multi-sensor time-series prediction
SCHW05 20th June 2008
09:00 to 09:40
GJ McLachlan Clustering of time course gene-expression 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 continuous-time 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 Large-scale 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 Shawe-Taylor 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 cross-validation
SCHW03 26th June 2008
09:00 to 10:00
J-L 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: low-rank 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 high-frequency 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 Permutation-invariant 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 Taiwanese-American occultation survey
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons