• 1109c - Mini-Workshop: Level Sets and Depth Contours in High Dimensional Data 

      [OWR-2011-13] Workshop Report 2011,13 (2011) - (27 Feb - 05 Mar 2011)
      Extraction of information about the distribution underlying a high-dimensional data set is a formidable, complex problem dominating modern nonparametric statistics. Two general strategies are (i) to extract merely qualitative ...
    • 1134c - Mini-Workshop: Mathematics of Machine Learning 

      [OWR-2011-42] Workshop Report 2011,42 (2011) - (21 Aug - 27 Aug 2011)
      This is a report for a mini-workshop on the mathematical theory of learning. The purpose of the workshop was to bring together internationally recognized experts and young researchers to discuss new approaches, trends, and ...
    • 1140 - Very High Dimensional Semiparametric Models 

      [OWR-2011-48] Workshop Report 2011,48 (2011) - (02 Oct - 08 Oct 2011)
      Very high dimensional semiparametric models play a major role in many areas, in particular in signal detection problems when sparse signals or sparse events are hidden among high dimensional noise. Concrete examples are ...