Bayesian bandwidth estimation for a functional nonparametric regression model with mixed types of regressors and unknown error density

From MaRDI portal
Publication:2934394

DOI10.1080/10485252.2014.916806zbMath1305.62176arXiv1403.1913OpenAlexW2093208925WikidataQ58288585 ScholiaQ58288585MaRDI QIDQ2934394

Han Lin Shang

Publication date: 12 December 2014

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

Full work available at URL: https://arxiv.org/abs/1403.1913



Related Items

Some Characteristics of the Conditional Set-Indexed Empirical Process Involving Functional Ergodic Data, On the estimation of the functional Weibull tail-coefficient, Adaptive estimation in the functional nonparametric regression model, Expectile regression for spatial functional data analysis (sFDA), The consistency and asymptotic normality of the kernel type expectile regression estimator for functional data, Estimation of a functional single index model with dependent errors and unknown error density, Nonparametric modelling for functional data: selected survey and tracks for future, Computational aspects of the kNN local linear smoothing for some conditional models in high dimensional statistics, Methods for Scalar‐on‐Function Regression, Nonparametric regression and classification with functional, categorical, and mixed covariates, Uniform in bandwidth consistency of conditional \(U\)-statistics adaptive to intrinsic dimension in presence of censored data, On the variable bandwidth kernel estimation of conditional \(U\)-statistics at optimal rates in sup-norm, Uniform consistency and uniform in bandwidth consistency for nonparametric regression estimates and conditional U-statistics involving functional data, FDA: strong consistency of the kNN local linear estimation of the functional conditional density and mode, Robust regression analysis for a censored response and functional regressors, Robust estimators in semi-functional partial linear regression models, Uniform limit theorems for a class of conditional \(Z\)-estimators when covariates are functions, On the uniform-in-bandwidth consistency of the general conditionalU-statistics based on the copula representation, Bayesian bandwidth estimation and semi-metric selection for a functional partial linear model with unknown error density, Uniform in bandwidth consistency for various kernel estimators involving functional data


Uses Software


Cites Work