Showcasing Early Career Researchers in Statistical Computing
Sponsored by Mango Solutions (http://www.mango-solutions.com/)
Thursday 18th October 2012, 1300-1730
Royal Statistical Society, 12 Errol Street, London EC1Y 8LX
The Royal Statistical Society Statistical Computing Section (SCS) and
Young Statisticians Section (YSS) are pleased to invite you to attend
a half-day meeting showcasing the next generation of statistical
computing researchers. The selected researchers cover a range of
topics across statistical computing and machine learning.
The meeting is relevant to those from industry and academia interested
in new developments in statistical computing and networking with early
career statistical computing researchers.
Programme
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13:00 -13:10 Welcome
13:10 -13:35 Edmund Jones (Bristol), Efficient searching
in tree and forest graphical models
13:35 -14:00 Aimee Gott (Lancaster), Detecting aliasing in
locally stationary textured images
14:00 -14:25 Simon Byrne (UCL), Geometric MCMC methods for
statistical computing
14:25 -14:50 Matt Silver (Imperial), Neuroimaging
genetics: Identifying gene pathways associated with a multivariate
quantitative trait
14:50 -15:00 Brandon Whitcher (Mango Solutions), Applied
Statistics: From Atmospheric Sciences to Anti-Angiogensis
15:00 -15:10 Statistical Computing Section AGM
15:10 -15:30 Refreshments
15:30 -15:55 Rajen Shah (Cambridge), Modelling
interactions in high-dimensional data with Backtracking
15:55 -16:20 Vasileios Lampos (Sheffield), Detecting
Events and Patterns in the Social Web with Statistical Learning
16:20 -16:45 Heather Pettitt (Nottingham), Analysis of
Lung CT Images for the Identification of Idiopathic Pulmonary Fibrosis
16:45 -17:10 Matt Nunes (Lancaster), Optimal selection of
data summaries in approximate Bayesian computation
17:10 -17:30 Refreshments
The event is kindly sponsored by Mango Solutions and thus is free to
attend. However, we ask that those intending to come send a quick
email to [log in to unmask] for catering purposes.
We look forward to welcoming you at the RSS.
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