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Reducing bias in nonparametric density estimation via bandwidth dependent kernels: L1 view

Published:2017-04 Issue: Volume:123 Page:17-22
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Mynbaev Kairat,Martins-Filho Carlos

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference8 articles.

1. A Course in Density Estimation;Devroye,1987

2. Nonparametric Density Estimation: The L1 View;Devroye,1985

3. Improving bias in kernel density estimation;Mynbaev;Statist. Probab. Lett.,2014

4. On estimation of a probability density and mode;Parzen;Ann. Math. Stat.,1962

5. Remarks on some nonparametric estimates of a density function;Rosenblatt;Ann. Math. Stat.,1956

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data sharpening method in regression confidence band;Communications in Statistics - Theory and Methods;2020-05-14

2. High-order data sharpening with dependent errors for regression bias reduction;Communications in Statistics - Theory and Methods;2018-10-23

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