On the validity of the bootstrap hypothesis testing in functional linear regression
DOI10.1007/S00362-023-01488-ZzbMATH Open1541.62092MaRDI QIDQ6579427
S. Mohammad E. Hosseini-Nasab, Omid Khademnoe
Publication date: 25 July 2024
Published in: Statistical Papers (Search for Journal in Brave)
bootstraphypothesis testcovariance operatorfunctional linear regressionmartingale central limit theorem
Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Functional data analysis (62R10) Linear regression; mixed models (62J05)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Minimax adaptive tests for the functional linear model
- Inference for functional data with applications
- A reproducing kernel Hilbert space approach to functional linear regression
- Structural test in regression on functional variables
- Applied functional data analysis. Methods and case studies
- Convergence of the largest eigenvalue of normalized sample covariance matrices when \(p\) and \(n\) both tend to infinity with their ratio converging to zero
- Generalized functional linear models
- Functional data analysis.
- Classical testing in functional linear models
- Statistical inferences for linear models with functional responses
- Approximation Theorems of Mathematical Statistics
- Testing for lack of dependence in the functional linear model
- Testing Hypotheses in the Functional Linear Model
- Ordering and Selecting Components in Multivariate or Functional Data Linear Prediction
- Hypothesis testing in functional linear models
- F-type testing in functional linear models
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