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Generalized least squares cross‐validation in kernel density estimation
Statistica Neerlandica, 2015The 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 ...
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Gcvpack – routines for generalized cross validation
Communications in Statistics - Simulation and Computation, 1987Douglas M. Bates +3 more
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Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
Technometrics, 1979Grace Wahba, Gene H Golub
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Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models
Journal of Computational and Graphical Statistics, 2023Yuhong Yang, Wangli Xu
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Out-of-bag Prediction Error: A Cross Validation Index for Generalized Structured Component Analysis
Multivariate Behavioral Research, 2019Heungsun Hwang +2 more
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