[Statlist] Next talk: Friday, 27.09.2019 with Alexandra Carpentier, Universität Magdeburg

[Maurer Letizia]

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ETH and University of Zurich

Organisers:

Proff. P. Bühlmann - L. Held - T. Hothorn - M. Maathuis -
N. Meinshausen - S. van de Geer - M. Wolf

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We are glad to announce the following talk:

Friday, 27.09.2019, at 15.15 h  ETH Zurich HG G19.1
with Alexandra Carpentier, Universität Magdeburg

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Title:

Adaptive inference and its relations to sequential decision making <https://math.ethz.ch/sfs/news-and-events/research-seminar.html?s=hs19#e_13077>

Abstract:

Adaptive inference - namely adaptive estimation and adaptive confidence statements - is particularly important in high of infinite dimensional models in statistics. Indeed whenever the dimension becomes high or infinite, it is important to adapt to the underlying structure of the problem. While adaptive estimation is often possible, it is often the case that adaptive and honest confidence sets do not exist. This is known as the adaptive inference paradox. And this has consequences in sequential decision making. In this talk, I will present some classical results of adaptive inference and discuss how they impact sequential decision making. (based on joint works with Andrea Locatelli, Matthias Loeffler, Olga Klopp and Richard Nickl)

This abstract is also to be found under the following link: http://stat.ethz.ch/events/research_seminar

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