A faster U-statistic for testing independence in the functional linear models
type: Item
instance of: scholarly article
title: A faster U-statistic for testing independence in the functional linear models
zbMATH Open document ID: 1481.62041
author: Fanrong Zhao
author: Nan Lin
author: Wenjuan Hu
author: Baoxue Zhang
published in: Journal of Statistical Planning and Inference
publication date: 2021-12-14T00:00:00Z
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62G10
Mathematics Subject Classification ID: 62R10
zbMATH DE Number: 7444364
zbMATH Keywords: asymptotic normality
zbMATH Keywords: functional linear model
zbMATH Keywords: nonparametric
zbMATH Keywords: U-statistic
MaRDI profile type: Publication
full work available at URL: j.jspi.2021.08.002
OpenAlex ID: W3194160627
cites work: Q4882268
cites work: Q3871030
cites work: Testing Hypotheses in the Functional Linear Model
cites work: Testing for No Effect in Functional Linear Regression Models, Some Computational Approaches
cites work: Generalized Multilevel Functional Regression
cites work: Test for high-dimensional regression coefficients using refitted cross-validation variance estimation
cites work: Tests for Error Correlation in the Functional Linear Model
cites work: Q3911791
cites work: Inference for functional data with applications
cites work: Functional linear regression that's interpretable
cites work: Testing for lack of dependence in the functional linear model
cites work: Partially functional linear regression in high dimensions
cites work: Adaptive Global Testing for Functional Linear Models
cites work: Time ordering of gene coexpression
cites work: Functional Data Analysis with R and MATLAB
cites work: Hypothesis testing in functional linear models
cites work: Functional quadratic regression
cites work: Statistical inferences for functional data
DOI: 10.1016/J.JSPI.2021.08.002
description: scientific article; zbMATH DE number 7444364