MISE of wavelet estimators for regression derivatives with biased strong mixing data
Author:
Affiliation:
1. School of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin, Guangxi, P. R. China
Publisher
Informa UK Limited
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610926.2019.1704007
Reference22 articles.
1. Limit properties of the monotone rearrangement for density and regression function estimation
2. Linear wavelet estimation of the derivatives of a regression function based on biased data
3. Wavelet-based estimation of regression function for dependent biased data under a given random design
4. On MISE of a Non linear Wavelet Estimator of the Regression Function Based on Biased Data under Strong Mixing
5. Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions
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