Arbeitspapier
Two adaptive rates of convergence in pointwise density estimation
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).
- Language
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Englisch
- Bibliographic citation
-
Series: SFB 373 Discussion Paper ; No. 1999,20
- Classification
-
Wirtschaft
- Subject
-
nonparametric density estimation
adaptive rates
Sobolev classes
- Event
-
Geistige Schöpfung
- (who)
-
Butucea, Cristina
- Event
-
Veröffentlichung
- (who)
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Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes
- (where)
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Berlin
- (when)
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1999
- Handle
- URN
-
urn:nbn:de:kobv:11-10056124
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Butucea, Cristina
- Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes
Time of origin
- 1999
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