Discussion of the paper ‘A general framework for functional regression modelling’

DOI10.1177/1471082X16681335OpenAlexW2588570954MaRDI QIDQ5142164

Jiawei Bai, Ciprian M. Crainiceanu, Andrada E. Ivanescu

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x16681335

zbMATH Keywords

penalizedhigh-dimensional datafunctional regression

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R
• BayesX
• SemiPar
• refund
• JAGS
• BayesXsrc
• gamair

Cites Work

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• The statistical analysis of fMRI data
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• Statistical inferences for functional data
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• Joint modelling of accelerated failure time and longitudinal data
• Functional Principal Component Regression and Functional Partial Least Squares
• Semiparametric Regression
• Principal component models for sparse functional data
• Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
• Thin Plate Regression Splines
• Cox regression models with functional covariates for survival data
• A Generalized Least-Square Matrix Decomposition
• Nonparametric Signal Extraction and Measurement Error in the Analysis of Electroencephalographic Activity During Sleep
• Generalized Functional Linear Models With Semiparametric Single-Index Interactions
• Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
• Functional Data Analysis for Sparse Longitudinal Data
• Estimation and inference in functional single-index models

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