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

Jiawei Bai, Andrada Ivanescu, Ciprian M. Crainiceanu

    Research output: Contribution to journalComment/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 languageEnglish
    Pages (from-to)36-44
    Number of pages9
    JournalStatistical Modelling
    Volume17
    Issue number1-2
    DOIs
    StatePublished - 1 Feb 2017

    Keywords

    • Functional regression
    • high-dimensional data
    • penalized

    Fingerprint

    Dive into the research topics of 'Discussion of the paper ‘A general framework for functional regression modelling’'. Together they form a unique fingerprint.

    Cite this