Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/61774 
Year of Publication: 
1999
Series/Report no.: 
SFB 373 Discussion Paper No. 1999,20
Publisher: 
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, Berlin
Abstract: 
We consider density pointwise estimation and look for best attainable asymptotic rates of convergence. The problem is adaptive, which means that the regularity parameter, Ø, describing the class of densities, varies in a set B. We shall consider, successively, two classes of densities, issued from a generalization of L2 Sobolev classes: W (Ø, p, L) and M (Ø, p, L).
Subjects: 
nonparametric density estimation
adaptive rates
Sobolev classes
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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