Oberwolfach Reports

Full-Text PDF (333 KB) | Introduction as PDF | Metadata | Table of Contents | OWR summary
Volume 8, Issue 4, 2011, pp. 2745–2779
DOI: 10.4171/OWR/2011/48

Published online: 2012-07-25

Very High Dimensional Semiparametric Models

Arnold Janssen[1], Aad van der Vaart[2] and Jon A. Wellner[3]

(1) Heinrich-Heine-Universität, Düsseldorf, Germany
(2) Universiteit Leiden, Netherlands
(3) 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.

No keywords available for this article.

Janssen Arnold, van der Vaart Aad, Wellner Jon: Very High Dimensional Semiparametric Models. Oberwolfach Rep. 8 (2011), 2745-2779. doi: 10.4171/OWR/2011/48