EconPapers    
Economics at your fingertips  
 

Strong Laws and Summability for φ-Mixing Sequences of Random Variables

Rüdiger Kiesel ()
Additional contact information
Rüdiger Kiesel: Birkbeck College, University of London

Journal of Theoretical Probability, 1998, vol. 11, issue 1, 209-224

Abstract: Abstract In this note the almost sure convergence of stationary, φ-mixing sequences of random variables according to summability methods is linked to the fulfillment of a certain integrability condition generalizing and extending the results for i.i.d. sequences. Furthermore we give via Baum-Katz type results an estimate for the rate of convergence in these laws.

Keywords: Strong Laws; φ-mixing; summability (search for similar items in EconPapers)
Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1023/A:1021655227120 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jotpro:v:11:y:1998:i:1:d:10.1023_a:1021655227120

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10959

DOI: 10.1023/A:1021655227120

Access Statistics for this article

Journal of Theoretical Probability is currently edited by Andrea Monica

More articles in Journal of Theoretical Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:jotpro:v:11:y:1998:i:1:d:10.1023_a:1021655227120