Cart (Loading....) | Create Account
Close category search window
 

The L1 and L2 strong consistency of recursive kernel density estimation from dependent samples

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gyorfi, L. ; Hungarian Acad. of Sci., Tech. Univ. of Budapest, Hungary ; Masry, E.

The L1 and L2 strong consistency of recursive kernel density estimators is established for mixing and ergodic stationary processes. Sharp rates of almost sure convergence are obtained in the L2 case for mixing processes. In addition, the concept and properties of Hilbert space-valued mixingales are developed, and strong laws of large numbers are given

Published in:

Information Theory, IEEE Transactions on  (Volume:36 ,  Issue: 3 )

Date of Publication:

May 1990

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.