Oberwolfach Reports


Full-Text PDF (598 KB) | Introduction as PDF | Metadata | Table of Contents | OWR summary
Volume 11, Issue 1, 2014, pp. 721–779
DOI: 10.4171/OWR/2014/13

Published online: 2014-12-10

Adaptive Statistical Inference

Mark Low[1], Axel Munk[2] and Alexandre B. Tsybakov[3]

(1) University of Pennsylvania, Philadelphia, USA
(2) Georg-August-Universität Göttingen, Germany
(3) CREST, Malakoff, France

This workshop in mathematical statistics highlights recent advances in adaptive methods for statistical estimation, testing and confidence sets. Related open mathematical problems are discussed with potential impact on the development of computationally efficient algorithms of data processing under prior uncertainty. Parcticular emphasis is on high dimensional models, inverse problems and discrtete structures.

No keywords available for this article.

Low Mark, Munk Axel, Tsybakov Alexandre: Adaptive Statistical Inference. Oberwolfach Rep. 11 (2014), 721-779. doi: 10.4171/OWR/2014/13