skip to content
 

Seminars (SCH)

Videos and presentation materials from other INI events are also available.

Search seminar archive

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