One-Sided Cross-Validation for Nonsmooth Density Functions
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Publication:154558
DOI10.48550/arXiv.1703.05157zbMath1505.62356arXiv1703.05157OpenAlexW2996671566WikidataQ126576114 ScholiaQ126576114MaRDI QIDQ154558
Publication date: 15 March 2017
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1703.05157
Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Density estimation (62G07)
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- Fully robust one-sided cross-validation for regression functions
- Further theoretical and practical insight to the do-validated bandwidth selector
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- A Review and Comparison of Bandwidth Selection Methods for Kernel Regression
- A weighted least-squares cross-validation bandwidth selector for kernel density estimation
- Indirect Cross-Validation for Density Estimation
- Double One-sided Cross-validation of Local Linear Hazards
- An Empirical Study of Indirect Cross-Validation
- Corrigendum
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