Using pseudometrics in kernel density estimation

DOI10.1080/10485252.2014.944524zbMath1329.62187OpenAlexW2064180940MaRDI QIDQ2934398

Sigve Hovda

Publication date: 12 December 2014

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10.1080/10485252.2014.944524

zbMATH Keywords

nonparametric regressionnonparametric density estimationsemiparametric density estimationnonparametric functional data analysisvolume of ball in pseudometric space

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07)

Cites Work

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• Optimal rates of convergence for nonparametric estimators
• Variable kernel density estimation
• Semiparametric density estimation by local \(L_ 2\)-fitting.
• Defining probability density for a distribution of random functions
• Functional projection pursuit regression
• A semiparametric density estimator based on elliptical distributions
• Semi-functional partial linear regression
• Nonparametric functional data analysis. Theory and practice.
• Estimation of a multivariate density
• How to Integrate a Polynomial over a Sphere
• Nonparametric estimation of a surrogate density function in infinite-dimensional spaces
• Remarks on Some Nonparametric Estimates of a Density Function
• Volumes of Generalized Unit Balls
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• Plug-in bandwidth matrices for bivariate kernel density estimation
• A Nonparametric Estimate of a Multivariate Density Function
• Cross-validation Bandwidth Matrices for Multivariate Kernel Density Estimation
• On Estimation of a Probability Density Function and Mode