An overview on nonparametric and semiparametric techniques for longitudinal data

Jianqing Fan, Runze Li

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

In the last two decades, there has been considerable literature on the topic of longitudinal data analysis. In particular, many authors have made much effort on developing diverse nonparametric and semiparametric models, along with their inference procedures, for longitudinal data. This chapter presents a review on recent development on this topic.

Original languageEnglish (US)
Title of host publicationFrontiers in Statistics
Subtitle of host publicationDedicated to Peter John Bickel in Honor of his 65th Birthday
PublisherImperial College Press
Pages277-303
Number of pages27
ISBN (Electronic)9781860948886
ISBN (Print)1860946704, 9781860946707
DOIs
StatePublished - Jan 1 2006

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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    Fan, J., & Li, R. (2006). An overview on nonparametric and semiparametric techniques for longitudinal data. In Frontiers in Statistics: Dedicated to Peter John Bickel in Honor of his 65th Birthday (pp. 277-303). Imperial College Press. https://doi.org/10.1142/9781860948886_0013