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Extent to which Least-Squares Cross-Validation Minimises Integrated Square Error in Nonparametric Density Estimation

机译：最小二乘交叉验证在非参数密度估计中最小化集成平方误差的程度

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Keywords: Windows; Kernel density estimates; Asymptotic properties; Distribution functions; Nonparametric statistics; Random variables; Stochastic processes.

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作者
Hall, P.; Marron, J. S.;
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年度 1985
页码 p.1-27
总页数 27
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Nonparametric statistics; Asymptotic series; Errors; Density; Estimates; Random variables; Distribution functions; Kernel functions;

机译：非参数统计;渐近系列;误差;密度;估计;随机变量;分布函数;核函数;

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1. A fast algorithm for computing least-squares cross-validations for nonparametric conditional kernel density functions [J] . Ichimura T., Fukuda D. Computational statistics & data analysis . 2010,第12期

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2. A weighted least-squares cross-validation bandwidth selector for kernel density estimation [J] . Tenreiro C. Communications in Statistics . 2017,第7a8期

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3. Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation [J] . Sylvain Arlot, Matthieu Lerasle Journal of machine learning research . 2016,第208期

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4. Cross-validation and predicted risk estimation for nonlinear iterative reweighted least-squares MRI reconstruction [C] . Ramani Sathish, Nielsen Jon-Fredrik, Fessler Jeffrey A. 2012 19th IEEE International Conference on Image Processing. . 2012

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5. Topics in Total Least-Squares Adjustment within the Errors-In-Variables Model: Singular Cofactor Matrices and Prior Information. [D] . Snow, Kyle. 2012

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6. Bayesian nonparametric regression and density estimation using integrated nested Laplace approximations [O] . Xiao-Feng Wang -1

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Extent to which Least-Squares Cross-Validation Minimises Integrated Square Error in Nonparametric Density Estimation

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