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Newton InstituteWeb SeminarsProgrammes & Workshops2008 > SCH

7 Jan - 27 Jun 2008

Statistical Theory and Methods for Complex, High-Dimensional Data

An Isaac Newton Institute Programme

Warning: Information on this page may be out of date.

For the full list of seminars given during this programme, see:
http://www.newton.ac.uk/programmes/SCH/seminars/


Workshops or other collections

23 - 27 Jun 2008: Future Directions in High-Dimensional Data Analysis: New Methodologies: New Data Types and New Applications
in association with the Statistical Theory and Methods for Complex, High-Dimensional Data programme
18 - 20 Jun 2008: Inference and Estimation in Probabilistic Time-Series Models
in association with the Statistical Theory and Methods for Complex, High-Dimensional Data programme
27 May 2008: Statistical Laboratory Day
in association with the Statistical Theory and Methods for Complex, High-Dimensional Data programme
31 Mar - 4 Apr 2008: High Dimensional Statistics in Biology
in association with the Statistical Theory and Methods for Complex, High-Dimensional Data programme
18 Feb 2008: Zoubin Day: Outreach to the Engineering Department Machine Learning Group
in association with the Statistical Theory and Methods for Complex, High-Dimensional Data programme
31 Jan 2008: Financial Data Day
in association with the Statistical Theory and Methods for Complex, High-Dimensional Data programme
22 Jan - 30 May 2008: Some discussions of statistical methods for metabolomics data
in association with the Statistical Theory and Methods for Complex, High-Dimensional Data programme
7 - 11 Jan 2008: Contemporary Frontiers in High-Dimensional Statistical Data Analysis
in association with the Statistical Theory and Methods for Complex, High-Dimensional Data programme

Individual Presentations

17 Jun 2008: Global testing of association and/or predictability in regression problems with p>>n predictors
JC. van Houwelingen
12 Jun 2008: Confidence sets for the optimal approximating model - bridging a gap between adaptive point estimation and confidence regions
A. Rohde
10 Jun 2008: Sparse recovery in convex hulls based on entropy penalisation
V. Koltchinskii
6 Jun 2008: Challenges of regional climate modelling and validation
DW. Nychka
5 Jun 2008: Approximation of functional spatial regression models using bivariate splines
S. Guillas
3 Jun 2008: On the approximation of quadratic forms and sparse matrix products
PJ. Wolfe
28 May 2008: Functional regression and additive models
HG. Mueller
22 May 2008: Latent variable models of transcriptional regulation
M. Rattray
21 May 2008: Slow subspace learning
A. Maurer
20 May 2008: On stratified path sampling of the thermodynamic integral: computing Bayes factors for nonlinear ODE models of biochemical pathways
M. Girolami
19 May 2008: Frontiers in applications of machine learning
C. Bishop
19 May 2008: Frontiers in applications of data mining
D. Hand
15 May 2008: Assessing high-dimensional latent variable models
I. Murray
14 May 2008: Looking at data and models in high-dimensional spaces: (3) Determining significance of structure
D. Cook
14 May 2008: Object oriented data analysis
S. Marron
13 May 2008: Entropic graphs for high-dimensional data analysis
A. Hero
8 May 2008: Lasso type classifiers with a reject option
M. Wegkamp
7 May 2008: Looking at data and models in high-dimensional spaces: (2) How, when and why to use interactive and dynamic graphics
D. Cook
6 May 2008: Non-asymptotic variable identification via the Lasso and the elastic net
F. Bunea
30 Apr 2008: Looking at data and models in high-dimensional science: (1) Tools and tips for making good plots
D. Cook
30 Apr 2008: Testing for sparse normal means: is there a signal?
J. Wellner
29 Apr 2008: Making the sky searchable: large scale astronomical pattern recognition
S. Roweis
21 Apr 2008: Spectra and generalisation
J. Shawe-Taylor
17 Apr 2008: Determining the number of factors in a linear mixture model from limited noisy data
B. Nadler
15 Apr 2008: Data visualisation via pairwise displays
C. Hurley
10 Apr 2008: Boosting kernel estimates
C. Taylor
8 Apr 2008: Empirical efficiency maximisation: improved locally efficient covariate adjustment
D. Rubin
27 Mar 2008: The semiparametric Bernstein-Von Mises theorem
B. Kleijn
26 Mar 2008: Improvements to variational Bayesian inference
WH. Teh
19 Mar 2008: Bootstrapping divergence weighted independence graphs
J. Whittaker
18 Mar 2008: Analysis of graphs using diffusion processes and random walks (a random walk through spectral graph theory)
E. Hancock
12 Mar 2008: Some issues raised by high dimension in Statistics - a partial overview of the SCH Programme
M. Titterington
11 Mar 2008: Total Variation and Curves
A. Kovac
6 Mar 2008: Non-parametric estimation of HARDI diffusion weighted magnetic resonance imaging data
S. Olhede
4 Mar 2008: Gaussian Process Functional Regression Model for Curve Prediction and Clustering
JQ. Shi
29 Feb 2008: Some thoughts about the design of dissimilarity measures
C. Hennig
28 Feb 2008: Pre-modelling via BART
E. George
22 Feb 2008: Functional sparsity
J. Lafferty
19 Feb 2008: Expectation Propagation - Experimental Design for the Sparse Linear M
M. Seeger
15 Feb 2008: An introduction to variational methods for incomplete-data problems
M. Titterington
13 Feb 2008: Text Mining and High Dimensional Statistical Analysis
YH. Said
12 Feb 2008: Procrustes methods for projective shape
J. Kent
7 Feb 2008: Human Motion Modelling with Gaussian Processes
N. Lawrence
5 Feb 2008: Approximation in Statistical Learning
M-A. Belabbas
29 Jan 2008: Model selection and sharp asymptotic minimaxity
H. Zhou
25 Jan 2008: An ensemble approach to improved prediction from multitype data
J. Clarke
24 Jan 2008: Excess mass estimation
C. Butucea
18 Jan 2008: A spectral regularisation framework for multi-task structure learning
M. Pontil

Newton InstituteWeb SeminarsProgrammes & Workshops2008 > SCH

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