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

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 (US)
Pages (from-to)36-44
Number of pages9
JournalStatistical Modelling
Volume17
Issue number1-2
DOIs
StatePublished - Feb 1 2017

Keywords

  • Functional regression
  • high-dimensional data
  • penalized

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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