Bootstrap in functional linear regression

DOI10.1016/j.jspi.2010.06.027zbMath1197.62068OpenAlexW2011078111MaRDI QIDQ710808

Adela Martínez-Calvo, Wenceslao González Manteiga

Publication date: 22 October 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.06.027

zbMATH Keywords

bootstrapconfidence intervalfunctional linear modelfunctional principal components analysis

Mathematics Subject Classification ID

Related Items (16)

Bootstrap confidence intervals in functional nonparametric regression under dependence ⋮ Minimax adaptive tests for the functional linear model ⋮ A partial overview of the theory of statistics with functional data ⋮ Bootstrap in semi-functional partial linear regression under dependence ⋮ Estimation of functional regression model via functional dimension reduction ⋮ On properties of percentile bootstrap confidence intervals for prediction in functional linear regression ⋮ A block bootstrap for quasi-likelihood in sparse functional data ⋮ Repeated measures analysis for functional data ⋮ Functional linear regression after spline transformation ⋮ Regression when both response and predictor are functions ⋮ The bootstrap in kernel regression for stationary ergodic data when both response and predictor are functions ⋮ An F-type test for detecting departure from monotonicity in a functional linear model ⋮ Adaptive Global Testing for Functional Linear Models ⋮ A new RKHS-based global testing for functional linear model ⋮ Resampling Techniques for Estimating the Distribution of Descriptive Statistics of Functional Data ⋮ Empirical Likelihood Inference for Nonparametric Regression Functions with Functional Stationary Ergodic Data

Uses Software

• fda (R)

Cites Work

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• Bootstrap methods: another look at the jackknife
• Functional data analysis
• Applied functional data analysis. Methods and case studies
• Functional linear model
• Nonparametric functional data analysis. Theory and practice.
• On the Validity of the Bootstrap in Non-Parametric Functional Regression
• Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination
• On Properties of Functional Principal Components Analysis
• NONPARAMETRIC REGRESSION ON FUNCTIONAL DATA: INFERENCE AND PRACTICAL ASPECTS

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