Wavelet density estimation for mixing and size-biased data

Wavelet density estimation for mixing and size-biased data

Abstract This paper considers wavelet estimation for a multivariate density function based on mixing and size-biased data. We provide upper bounds for the mean integrated squared error (MISE) of wavelet estimators. It turns out that our results reduce to the corresponding theorem of Shirazi and Doos...

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Bibliographic Details
Main Authors: Junke Kou, Huijun Guo
Format: Article
Language:English
Published: SpringerOpen 2018-07-01
Series:Journal of Inequalities and Applications
Subjects:
Density estimation
Strong mixing
Size-biased
Wavelets
Online Access:http://link.springer.com/article/10.1186/s13660-018-1784-x

Internet

http://link.springer.com/article/10.1186/s13660-018-1784-x

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