Longitudinal functional models with structured penalties
From MaRDI portal
Publication:4971453
DOI10.1177/1471082X15626291OpenAlexW2949643456WikidataQ37705581 ScholiaQ37705581MaRDI QIDQ4971453
Madan G. Kundu, Jaroslaw Harezlak, Timothy W. Randolph
Publication date: 12 October 2020
Published in: Statistical Modelling (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1211.4763
longitudinal datageneralized singular value decompositionfunctional data analysisLongPEER estimatestructured penalty
Related Items
Regression Analysis of Asynchronous Longitudinal Functional and Scalar Data, A Multi-Dimensional Functional Principal Components Analysis of EEG Data, Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, With Application to Glaucoma Data
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Prediction in functional linear regression
- Smoothing splines estimators in functional linear regression with errors-in-variables
- Functional data analysis
- That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
- Smoothed functional principal components analysis by choice of norm
- Structured penalties for functional linear models -- partially empirical eigenvectors for regression
- Longitudinal functional principal component analysis
- Generalized functional linear models
- Smoothing Parameter Selection for a Class of Semiparametric Linear Models
- Wavelet-based Functional Mixed Models
- Regression Analysis for a Functional Response
- Semiparametric Regression
- COMPARISON OF FEATURE SIGNIFICANCE QUANTILE APPROXIMATIONS
- Generalized Linear Models with Functional Predictors
- Functional quadratic regression
- Functional Modelling and Classification of Longitudinal Data*
- Ridge Regression: Biased Estimation for Nonorthogonal Problems