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.
Cite this article
Mark Low, Axel Munk, Alexandre B. Tsybakov, Adaptive Statistical Inference. Oberwolfach Rep. 11 (2014), no. 1, pp. 721–779DOI 10.4171/OWR/2014/13