Aggregated estimators and empirical complexity for least square regression
Jean-Yves Audibert (2004)
Annales de l'I.H.P. Probabilités et statistiques
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Jean-Yves Audibert (2004)
Annales de l'I.H.P. Probabilités et statistiques
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K. Bertin, E. Le Pennec, V. Rivoirard (2011)
Annales de l'I.H.P. Probabilités et statistiques
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The aim of this paper is to build an estimate of an unknown density as a linear combination of functions of a dictionary. Inspired by Candès and Tao’s approach, we propose a minimization of the 1-norm of the coefficients in the linear combination under an adaptive Dantzig constraint coming from sharp concentration inequalities. This allows to consider a wide class of dictionaries. Under local or global structure assumptions, oracle inequalities are derived. These theoretical results...
Dominique Picard, Karine Tribouley (2002)
Annales de l'I.H.P. Probabilités et statistiques
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Josu Arteche (2000)
Kybernetika
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Gaussian semiparametric or local Whittle estimation of the memory parameter in standard long memory processes was proposed by Robinson [18]. This technique shows several advantages over the popular log- periodogram regression introduced by Geweke and Porter–Hudak [7]. In particular under milder assumptions than those needed in the log periodogram regression it is asymptotically more efficient. We analyse the asymptotic behaviour of the Gaussian semiparametric estimate of the memory parameter...