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Generalized least squares cross‐validation in kernel density estimation

Statistica Neerlandica, 2015
The kernel density estimation is a popular method in density estimation. The main issue is bandwidth selection, which is a well‐known topic and is still frustrating statisticians. A robust least squares cross‐validation bandwidth is proposed, which significantly improves the classical least squares cross‐validation bandwidth for its variability and ...
openaire   +1 more source

Gcvpack – routines for generalized cross validation

Communications in Statistics - Simulation and Computation, 1987
Douglas M. Bates   +3 more
openaire   +1 more source

Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models

Journal of Computational and Graphical Statistics, 2023
Yuhong Yang, Wangli Xu
exaly  

Out-of-bag Prediction Error: A Cross Validation Index for Generalized Structured Component Analysis

Multivariate Behavioral Research, 2019
Heungsun Hwang   +2 more
exaly  

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