Moments, errors, asymptotic normality and large deviation principle in nonparametric functional regression

Published 2015 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Moments, errors, asymptotic normality and large deviation principle in nonparametric functional regression
Authors
Keywords
Nonparametric regression, Functional regression, Scalar-on-function regression, Nadaraya–Watson estimator, Semi-metric
Journal
STATISTICS & PROBABILITY LETTERS
Volume 107, Issue -, Pages 369-377
Publisher
Elsevier BV
Online
2015-09-22
DOI
10.1016/j.spl.2015.09.015

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

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.