Testing linear operator constraints in functional response regression with incomplete response functions

DOI10.1214/23-ejs2177arXiv2212.01419OpenAlexW4388656301MaRDI QIDQ6144422

Kyunghee Han, Yeonjoo Park, Douglas G. Simpson

Publication date: 5 January 2024

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

Full work available at URL: https://arxiv.org/abs/2212.01419

zbMATH Keywords

measurement errorsincomplete observationsfunction-on-scalar regressionpartially observed functional datashape constraints hypothesis

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Functional data analysis (62R10)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Inference using shape-restricted regression splines
• Minimax adaptive tests for the functional linear model
• Significance tests for functional data with complex dependence structure
• The function-on-scalar LASSO with applications to longitudinal GWAS
• Multivariate varying coefficient model for functional responses
• On the consistency of cross-validation in kernel nonparametric regression
• Spline smoothing: The equivalent variable kernel method
• Performing hypothesis tests on the shape of functional data
• Optimal bandwidth selection in nonparametric regression function estimation
• Large sample optimality of least squares cross-validation in density estimation
• An extension of the mixed primal-dual bases algorithm to the case of more constraints than dimensions
• Partially observed functional data: the case of systematically missing parts
• Simultaneous variable selection and smoothing for high-dimensional function-on-scalar regression
• Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes
• On the optimal reconstruction of partially observed functional data
• Model checks for functional linear regression models based on projected empirical processes
• Functional data analysis.
• Nonparametric inference in generalized functional linear models
• Statistical inferences for functional data
• Time-Varying Additive Models for Longitudinal Data
• Statistical inferences for linear models with functional responses
• A Brief Survey of Bandwidth Selection for Density Estimation
• SPECIFICATION TEST FOR MISSING FUNCTIONAL DATA
• Two sample inference in functional linear models
• Regression Analysis for a Functional Response
• The historical functional linear model
• Nonparametric Regression Analysis of Longitudinal Data
• Detecting Changes in the Mean of Functional Observations
• Smoothing Spline Estimation in Varying-Coefficient Models
• Adaptive Global Testing for Functional Linear Models
• A goodness‐of‐fit test for the functional linear model with functional response
• Robust Inference for Partially Observed Functional Response Data
• Additive Functional Regression for Densities as Responses
• Inference for Generalized partial functional linear regression
• Hypothesis testing in functional linear models
• Components and Completion of Partially Observed Functional Data
• One‐Way <scp>anova</scp> for Functional Data via Globalizing the Pointwise F‐test
• Equivalent kernels of smoothing splines in nonparametric regression for clustered/longitudinal data
• Functional Data Analysis for Sparse Longitudinal Data
• Mean and Covariance Estimation for Functional Snippets
• Functional data analysis for density functions by transformation to a Hilbert space
• Estimating the Covariance of Fragmented and Other Related Types of Functional Data

This page was built for publication: Testing linear operator constraints in functional response regression with incomplete response functions