New Horizons in Statistical Decision Theory

  • Richard D. Gill

    Universiteit Leiden, Netherlands
  • Madalin Guta

    University of Nottingham, UK
  • Michael Nussbaum

    Cornell University, Ithaca, USA
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The classical metric theory of statistical models (experiments) has recently been extended towards an asymptotic equivalence paradigm, allowing to classify and relate problems which are essentially infinite dimensional and ill-posed. Modern statistical concepts like these are also being integrated into the emerging field of quantum statistics, which is developing on the background of technological breakthroughs in quantum engineering. The workshop brought together leading experts in these areas, with the goal of establishing a common language, and fostering collaborations between mathematical statisticians, theoretical physicists and experimentalists.

Cite this article

Richard D. Gill, Madalin Guta, Michael Nussbaum, New Horizons in Statistical Decision Theory. Oberwolfach Rep. 11 (2014), no. 3, pp. 2297–2352

DOI 10.4171/OWR/2014/41