Uniform Strong Law of Large Numbers

V. Yu. Bogdanskii (), O. I. Klesov () and I. Molchanov ()
Additional contact information
V. Yu. Bogdanskii: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
O. I. Klesov: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
I. Molchanov: University of Bern

Methodology and Computing in Applied Probability, 2021, vol. 23, issue 2, 461-470

Abstract: Abstract We prove the strong law of large numbers for random signed measures. The result is uniform over a family of subsets under mild assumptions.

Keywords: Random signed measure; Strong law of large numbers; Uniform limit theorem over a family of subsets; Partial sum stochastic processes; Primary 60F15; Secondary 60G55; 60G57; 60G60 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11009-019-09711-x 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:metcap:v:23:y:2021:i:2:d:10.1007_s11009-019-09711-x

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009

DOI: 10.1007/s11009-019-09711-x

Access Statistics for this article

Methodology and Computing in Applied Probability is currently edited by Joseph Glaz

More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().