Theme of Workshop:
This closing workshop of the research programme will look both backwards and forwards, although mainly the latter. There will be a retrospective component that reviews some of the ideas and advances that have been generated or initiated during the preceding six months, but the emphasis will be on presentations that look to the future, in this vital area of the analysis of large-scale data-sets. The invited speakers will include leading researchers from statistics and machine learning, and will describe theoretical/methodological advances as well as issues associated with implementation in important applied fields, such as finance, climatology, analysis of sparse signals and genomics.
D Barber (UCL); T Cai (Pennsylvania); U Gather (Dortmund); P Hall (Melbourne); V Koltchinskii (Georgia); E Levina (Michigan); KC Li (Academia Sinica); N Meinshausen (Osford); A Owen (Stanford); J Rice (Berkeley); J Robins (Harvard); MW Seeger (MPI); JS Shawe-Taylor (UCL); R Tibshirani (Stanford); A Tsybakov (Paris); J van Houwelingen (Leiden); J-L Wang (Davis); E Wit (Lancaster); PJ Wolfe (Harvard); M Yuan (Georgia)
Contributed Talks and Posters:
There will be a limited number of contributed talks and poster places. If you wish to be considered to present a talk or poster please indicate your request on the application form.