Estimation and testing for partially functional linear errors-in-variables models
DOI10.1016/J.JMVA.2018.11.005zbMath1420.62186OpenAlexW2901699779WikidataQ128914198 ScholiaQ128914198MaRDI QIDQ1733291
Zhou Yu, Hanbing Zhu, Yanghui Liu, Heng Lian, Ri-quan Zhang
Publication date: 21 March 2019
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2018.11.005
hypothesis testerrors-in-variablesfunctional datapartially linear modelscorrected profile least-squares
Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Hypothesis testing in multivariate analysis (62H15)
Related Items (16)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An introduction to recent advances in high/infinite dimensional statistics
- Uniform consistency of \(k\mathrm{NN}\) regressors for functional variables
- A partial overview of the theory of statistics with functional data
- Regression when both response and predictor are functions
- Methodology and theory for partial least squares applied to functional data
- Functional partially linear quantile regression model
- A reproducing kernel Hilbert space approach to functional linear regression
- Functional linear regression via canonical analysis
- Single and multiple index functional regression models with nonparametric link
- On prediction rate in partial functional linear regression
- Generalized partially linear mixed-effects models incorporating mismeasured covariates
- A partitioned single functional index model
- Adaptive functional linear regression
- Functional linear regression that's interpretable
- Prediction in functional linear regression
- Additive prediction and boosting for functional data
- Methodology and convergence rates for functional linear regression
- Smoothing splines estimators for functional linear regression
- The functional nonparametric model and applications to spectrometric data
- Estimation in a semiparametric partially linear errors-in-variables model
- Linear processes in function spaces. Theory and applications
- On dimension reduction models for functional data
- Functional envelope for model-free sufficient dimension reduction
- Functional linear model
- Dynamical functional prediction and classification, with application to traffic flow prediction
- Curse of dimensionality and related issues in nonparametric functional regression
- Testing linearity in semi-parametric functional data analysis
- Functional response additive model estimation with online virtual stock markets
- Partial functional linear regression
- Generalized functional linear models
- Functional projection pursuit regression
- Regularized partially functional quantile regression
- On rates of convergence in functional linear regression
- Nonparametric time series prediction: A semi-functional partial linear modeling
- Functional data analysis.
- Semi-functional partial linear regression
- Nonparametric functional data analysis. Theory and practice.
- Properties of principal component methods for functional and longitudinal data analysis
- Functional Partial Linear Single‐index Model
- Partially functional linear regression in high dimensions
- Most-predictive design points for functional data predictors
- Presmoothing in functional linear regression
- Cross-validated estimations in the single-functional index model
- Error variance estimation in semi-functional partially linear regression models
- Estimation for semi-functional linear regression
- Variable selection in partial linear regression with functional covariate
- Functional sliced inverse regression analysis
- Principal component models for sparse functional data
- Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
- Minimax and Adaptive Prediction for Functional Linear Regression
- Generalized Linear Models with Functional Predictors
- Robust Classification of Functional and Quantitative Image Data Using Functional Mixed Models
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Generalized Functional Linear Models With Semiparametric Single-Index Interactions
- Selecting the Number of Principal Components in Functional Data
- Two‐Stage Functional Mixed Models for Evaluating the Effect of Longitudinal Covariate Profiles on a Scalar Outcome
- Measurement Error in Nonlinear Models
- Functional Data Analysis for Sparse Longitudinal Data
This page was built for publication: Estimation and testing for partially functional linear errors-in-variables models