A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods

被引:4
|
作者
Bouzebda, Salim [1 ]
Chesneau, Christophe [2 ]
机构
[1] Univ Technol Compiegne, Alliance Sorbonne Univ, LMAC, F-60159 Compiegne, France
[2] Univ Caen, Dept Math, LMNO, Campus 2,Sci 3, F-14032 Caen, France
来源
STATS | 2020年 / 3卷 / 04期
关键词
conditional mode estimation; strong consistency; nonparametric estimation; wavelet estimation;
D O I
10.3390/stats3040030
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The purpose of this note is to introduce and investigate the nonparametric estimation of the conditional mode using wavelet methods. We propose a new linear wavelet estimator for this problem. The estimator is constructed by combining a specific ratio technique and an established wavelet estimation method. We obtain rates of almost sure convergence over compact subsets of R-d. A general estimator beyond the wavelet methodology is also proposed, discussing adaptivity within this statistical framework.
引用
收藏
页码:475 / 483
页数:9
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