[Statlist] Next talk: Friday, November 18, 2011 with Davy Paindaveine, University of Brussels
Susanne Kaiser-Heinzmann
k@|@er @end|ng |rom @t@t@m@th@ethz@ch
Mon Nov 14 12:01:15 CET 2011
ETH and University of Zurich
Proff. P. Buehlmann - L. Held - H.R. Kuensch -
M. Maathuis - S. van de Geer - M. Wolf
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We are glad to announce the following talk
Friday, November 18, 2011, 15.15h, HG G 19.1
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by Davy Paindaveine, University of Brussels
Titel:
Semiparametrically Efficient Inference Based On Signed Ranks In
Symmetric Independent Component Models
Abstract:
We consider semiparametric location-scatter models for which the p-
variate observation is obtained as X = ��Z + ��, where �� is a p-
vector, �� is a full-rank p �� p matrix, and the (unobserved) random p-
vector Z has marginals that are centered and mutually independent but
are otherwise unspecified. As in blind source separation and
independent component analysis (ICA), the parameter of interest
throughout the paper is ��. On the basis of n i.i.d. copies of X, we
develop, under a symmetry assumption on Z, signed-rank one-sample
testing and estimation procedures for ��. We exploit the uniform local
and asymptotic normality (ULAN) of the model to define signed-rank
procedures that are semiparametrically efficient under correctly
specified densities. Yet, as usual in rank-based inference, the
proposed procedures remain valid (correct asymptotic size under the
null, for hypothesis testing, and root-n consistency, for point
estimation) under a very broad range of densities. We derive the
asymptotic properties of the proposed procedures and investigate their
finite-sample behavior through simulations.
The abstract is also to be found here: http://stat.ethz.ch/events/research_seminar
_________________________________
ETH Z��rich
Seminar f��r Statistik
R��mistrasse 101
CH-8092 Z��rich
Tel: +41 446326518 Fax: +41 446321228
sekretariat using stat.math.ethz.ch
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