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This is the final reminder for the meeting taking place this Thursday. 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 ********* 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. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.