Convergence rates of wavelet density estimation for negatively dependent sample
Abstract In this paper, linear and nonlinear wavelet estimators are defined for a density in a Besov space based on a negatively dependent random sample, and their upper bounds on Lp $L^{p}$ ( 1≤p<∞ $1\leq p<\infty $) risk are provided.
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| Format: | Article |
| Language: | English |
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SpringerOpen
2019-06-01
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| Series: | Journal of Inequalities and Applications |
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| Online Access: | http://link.springer.com/article/10.1186/s13660-019-2127-2 |