Multiparameter bandwidth processes and adaptive surface smoothing

DOI10.1006/jmva.1993.1067zbMath0795.62039OpenAlexW2061674424MaRDI QIDQ689359

Kathryn A. Prewitt, Hans-Georg Müller

Publication date: 6 December 1993

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmva.1993.1067

zbMATH Keywords

variancebiasfunctional limit theoremdensity estimationcurve estimationwindow processesoptimal estimatorsasymptotic mean quadratic errordata-adaptative smoothinglimiting Gaussian processoptimal window

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Functional limit theorems; invariance principles (60F17)

Related Items (9)

Towards Insensitivity of Nadaraya--Watson Estimators to Design Correlation ⋮ Universal kernel-type estimation of random fields ⋮ Surface and function approximation with nonparametric regression ⋮ Nonparametric estimation of the location of a maximum in a response surface. ⋮ Estimation of extreme quantiles from heavy-tailed distributions in a location-dispersion regression model ⋮ Shrinkage Estimation for Functional Principal Component Scores with Application to the Population Kinetics of Plasma Folate ⋮ Error process indexed by bandwidth matrices in multivariate local linear smoothing ⋮ Efficient Bandwidth Selection in Non‐parametric Regression ⋮ Bivariate density estimation with randomly truncated data.

This page was built for publication: Multiparameter bandwidth processes and adaptive surface smoothing