Very High Dimensional Semiparametric Models

  • Arnold Janssen

    Heinrich-Heine-Universität, Düsseldorf, Germany
  • Aad van der Vaart

    Universiteit Leiden, Netherlands
  • Jon A. Wellner

    University of Washington, Seattle, United States


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 genomic studies in biostatistics or imaging problems. In a broad context all kind of statistical inference and model selection problems were discussed for high dimensional data.

Cite this article

Arnold Janssen, Aad van der Vaart, Jon A. Wellner, Very High Dimensional Semiparametric Models. Oberwolfach Rep. 8 (2011), no. 4, pp. 2745–2779

DOI 10.4171/OWR/2011/48