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

Jiawei Bai; Andrada Ivanescu; Ciprian M. Crainiceanu

doi:10.1177/1471082X16681335

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

Jiawei Bai, Andrada Ivanescu, Ciprian M. Crainiceanu

Applied Mathematics and Statistics

Research output: Contribution to journal › Comment/debate

Abstract

This discussion provides our reaction to the article by Greven and Scheipl. It contains an overview of their article and a description of the many areas of research that remain open and could benefit from further methodological and computational development.

Original language	English
Pages (from-to)	36-44
Number of pages	9
Journal	Statistical Modelling
Volume	17
Issue number	1-2
DOIs	https://doi.org/10.1177/1471082X16681335
State	Published - 1 Feb 2017

Keywords

Functional regression
high-dimensional data
penalized

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title = "Discussion of the paper {\textquoteleft}A general framework for functional regression modelling{\textquoteright}",

abstract = "This discussion provides our reaction to the article by Greven and Scheipl. It contains an overview of their article and a description of the many areas of research that remain open and could benefit from further methodological and computational development.",

keywords = "Functional regression, high-dimensional data, penalized",

author = "Jiawei Bai and Andrada Ivanescu and Crainiceanu, {Ciprian M.}",

year = "2017",

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AU - Ivanescu, Andrada

AU - Crainiceanu, Ciprian M.

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Y1 - 2017/2/1

N2 - This discussion provides our reaction to the article by Greven and Scheipl. It contains an overview of their article and a description of the many areas of research that remain open and could benefit from further methodological and computational development.

AB - This discussion provides our reaction to the article by Greven and Scheipl. It contains an overview of their article and a description of the many areas of research that remain open and could benefit from further methodological and computational development.

KW - Functional regression

KW - high-dimensional data

KW - penalized

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DO - 10.1177/1471082X16681335

M3 - Comment/debate

AN - SCOPUS:85014610654

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SP - 36

EP - 44

JO - Statistical Modelling

JF - Statistical Modelling

IS - 1-2

ER -

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

Abstract

Keywords

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