A Geometric Approach to Maximum Likelihood Estimation of the Functional Principal Components From Sparse Longitudinal Data

Published 2009 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A Geometric Approach to Maximum Likelihood Estimation of the Functional Principal Components From Sparse Longitudinal Data
Authors
Keywords
-
Journal
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
Volume 18, Issue 4, Pages 995-1015
Publisher
Informa UK Limited
Online
2009-10-16
DOI
10.1198/jcgs.2009.08011
References
View 1 related references

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.