Because of the increasing availability of data, statistics plays a more and more prominent
role in many scientific and practical areas. On the other hand, the most general realistic
models are usually very complex such that poor statistical precision is very common in
spite of the large amount of data. Therefore, new methods and
tools are necessary that adapt to partially unknown structures underlying high-dimensional complex data
to obtain more accurate estimates.
On April 23, 2012 a workshop devoted to such problems of structural inference will take place at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) (Mohrenstr. 39, 10117 Berlin). The two main speakers are Massimiliano Pontil (University College London), a leading expert in machine learning theory and pattern recognition, and Patricia Reynaud-Bouret (University of Nice), who is renowned for her contribution to the theory of adaptive estimation. Below you find a preliminary program, which will be regularly updated.
The workshop is organized by the DFG-research unit FOR 1735: Structural Inference in Statistics: Adaption and Efficiency. The participation is for free and everyone is heartily invited. However, to facilitate the organization of this one-day workshop, please send an e-mail with the subject Structural Inference Day to firstname.lastname@example.org if you intend to participate.
|Time||Speaker and title||Room|
|10:30||Patricia Reynaud-Bouret (University of Nice): The two-sample problem for Poisson processes: adaptive tests with a non asymptotic wild bootstrap approach||Erhard-Schmidt lecture room|
|11:30||Coffee break||12:00||Gilles Blanchard (University of Potsdam): Multiple testing over a continuous domain of null hypotheses||Erhard-Schmidt lecture room|
|12:30||Thorsten Dickhaus (Humboldt University Berlin): Simultaneous test procedures in terms of p-value copulae||Erhard-Schmidt lecture room|
|14:15||Massimiliano Pontil (University College London): Multi-task Learning: Theory and Practice||Erhard-Schmidt lecture room|
|15:15||Angelika Rohde (University of Hamburg): Accuracy of empirical projections of high-dimensional Gaussian matrices||Erhard-Schmidt lecture room|
|16:15||Andreas Andresen (WIAS Berlin): Nonasymptotic Wilks phenomenon in semiparametric estimation||406|
|16:45||Ulrike von Luxburg (University of Hamburg): Phase transition in random walk distances on graphs||406|
|17:15||Alexander Meister (University of Rostock): Nonparametric regression for group testing data||406|
Here you may check how to reach the venue by public transport.
If you have further questions concerning the Structural Inference Day 2012 do not hesitate to contact Andreas Andresen (email@example.com).