Goldenshluger, A.; Juditsky, A.; Tsybakov, A. B.; Zeevi, A.
Change-point estimation from indirect observations. 1. Minimax complexity
Annales de l'I.H.P. Probabilités et statistiques, Tome 44 (2008) no. 5 , p. 787-818
Zbl 1206.62048 | MR 2453845 | 1 citation dans Numdam
doi : 10.1214/07-AIHP110
URL stable : http://www.numdam.org/item?id=AIHPB_2008__44_5_787_0

Classification:  62G05,  62G20
Cet article a pour but d'étudier le problème d'estimation non-paramétrique de singularités d'un signal à partir des observations indirectes et bruitées. Les singularités que nous considérons ici sont des points de discontinuité (points de rupture) du signal ou de ses derivées. Nous étudions le modèle où l'on dispose d'observations indirectes d'une transformée linéaire du signal dans le bruit blanc gaussien. Le problème de l'estimation est analysé dans un cadre minimax. Nous obtenons des minorations du risque minimax et nous proposons des estimateurs qui sont optimaux en vitesse de convergence.
We consider the problem of nonparametric estimation of signal singularities from indirect and noisy observations. Here by singularity, we mean a discontinuity (change-point) of the signal or of its derivative. The model of indirect observations we consider is that of a linear transform of the signal, observed in white noise. The estimation problem is analyzed in a minimax framework. We provide lower bounds for minimax risks and propose rate-optimal estimation procedures.

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