Model checks for functional linear regression models based on projected empirical processes
From MaRDI portal
Publication:2291339
DOI10.1016/j.csda.2019.106897zbMath1504.62065OpenAlexW2994013335WikidataQ126530099 ScholiaQ126530099MaRDI QIDQ2291339
Qing Jiang, Zhenghui Feng, Feifei Chen, Li Xing Zhu
Publication date: 30 January 2020
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2019.106897
Asymptotic properties of nonparametric inference (62G20) Functional data analysis (62R10) Linear regression; mixed models (62J05) Order statistics; empirical distribution functions (62G30) Functional limit theorems; invariance principles (60F17)
Related Items
A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity, Testing linear operator constraints in functional response regression with incomplete response functions, Projection-averaging-based cumulative covariance and its use in goodness-of-fit testing for single-index models, A review of goodness-of-fit tests for models involving functional data
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A CONSISTENT DIAGNOSTIC TEST FOR REGRESSION MODELS USING PROJECTIONS
- Breaking the curse of dimensionality in nonparametric testing
- A consistent test of functional form via nonparametric estimation techniques
- Deciding the dimension of effective dimension reduction space for functional and high-dimension\-al data
- Multivariate varying coefficient model for functional responses
- Diagnostics for functional regression via residual processes
- Dimension-reduction type test for linearity of a stochastic regression model
- Comparing nonparametric versus parametric regression fits
- Nonparametric model checks for regression
- Heteroscedasticity testing for regression models: a dimension reduction-based model adaptive approach
- Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes
- Functional response regression analysis
- A robust adaptive-to-model enhancement test for parametric single-index models
- Model checks for regression: an innovation process approach
- Nonlinear sufficient dimension reduction for functional data
- An adaptive-to-model test for partially parametric single-index models
- Nonparametric Monte Carlo tests and their applications.
- Statistical inferences for functional data
- Statistical inferences for linear models with functional responses
- Testing for lack of dependence in the functional linear model
- Sufficient dimension reduction through discretization-expectation estimation
- Model checking in regression via dimension reduction
- Sliced Inverse Regression for Dimension Reduction
- Regression Analysis for a Functional Response
- Functional sliced inverse regression analysis
- A projection-based adaptive-to-model test for regressions
- Unified Empirical Likelihood Ratio Tests for Functional Concurrent Linear Models and the Phase Transition from Sparse to Dense Functional Data
- A Review on Dimension-Reduction Based Tests For Regressions
- Generalized Functional Linear Models With Semiparametric Single-Index Interactions
- Single‐index varying coefficient model for functional responses
- Model Checking for Parametric Single-index Models: A Dimension Reduction Model-Adaptive Approach
