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Published online: 2015-05-15
New Horizons in Statistical Decision TheoryRichard D. Gill, Madalin Guta and Michael Nussbaum (1) Universiteit Leiden, Netherlands
(2) University of Nottingham, UK
(3) Cornell University, Ithaca, USA
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.
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Gill Richard, Guta Madalin, Nussbaum Michael: New Horizons in Statistical Decision Theory. Oberwolfach Rep. 11 (2014), 2297-2352. doi: 10.4171/OWR/2014/41