Estimation and inference for functional linear regression models with partially varying regression coefficients
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Publication:6541575
DOI10.1002/sta4.286MaRDI QIDQ6541575
Lily Wang, Guanqun Cao, Shuoyang Wang
Publication date: 19 May 2024
Published in: Stat (Search for Journal in Brave)
Cites Work
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- Functional linear regression analysis for longitudinal data
- Identifiability in penalized function-on-function regression models
- From sparse to dense functional data and beyond
- A partial overview of the theory of statistics with functional data
- Inference for functional data with applications
- Spline confidence bands for functional derivatives
- Multivariate varying coefficient model for functional responses
- Simultaneous inference for the mean of repeated functional data
- Optimal global rates of convergence for nonparametric regression
- Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach
- Penalized function-on-function regression
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- Bayesian function-on-function regression for multilevel functional data
- Simultaneous inference for the mean function based on dense functional data
- Polynomial Spline Estimation for a Generalized Additive Coefficient Model
- Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework
- Additive Function-on-Function Regression
- Oracle-Efficient Confidence Envelopes for Covariance Functions in Dense Functional Data
- Unified Empirical Likelihood Ratio Tests for Functional Concurrent Linear Models and the Phase Transition from Sparse to Dense Functional Data
- Introduction to Functional Data Analysis
- Corrected Confidence Bands for Functional Data Using Principal Components
- Simultaneous confidence corridors for mean functions in functional data analysis of imaging data
- A general framework for functional regression modelling
- SPLINE-BACKFITTED KERNEL SMOOTHING OF ADDITIVE COEFFICIENT MODEL
- Dependent functional linear models with applications to monitoring structural change
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Asymptotics of bivariate penalised splines
- Functional Data Analysis for Sparse Longitudinal Data
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