Functional linear regression with points of impact
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Publication:5963514
DOI10.1214/15-AOS1323zbMath1331.62233arXiv1601.02798OpenAlexW2192126618MaRDI QIDQ5963514
Alois Kneip, Pascal Sarda, Dominik Poss
Publication date: 22 February 2016
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1601.02798
Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05) Inference from stochastic processes (62M99)
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Cites Work
- The Bernstein-Orlicz norm and deviation inequalities
- Methodology and theory for partial least squares applied to functional data
- Factor models and variable selection in high-dimensional regression analysis
- Adaptive functional linear regression
- Functional linear regression that's interpretable
- Prediction in functional linear regression
- CLT in functional linear regression models
- Fractals with point impact in functional linear regression
- Methodology and convergence rates for functional linear regression
- Smoothing splines estimators for functional linear regression
- An RKHS formulation of the inverse regression dimension-reduction problem
- Thresholding projection estimators in functional linear models
- Linear processes in function spaces. Theory and applications
- Functional linear model
- Weak convergence and empirical processes. With applications to statistics
- Time varying undirected graphs
- Generalized functional linear models
- Simultaneous analysis of Lasso and Dantzig selector
- On a set of data for the membrane potential in a neuron
- Most-predictive design points for functional data predictors
- A Statistical View of Some Chemometrics Regression Tools
- On Properties of Functional Principal Components Analysis
