A finite-sample Borel–Cantelli inequality under m-dependence

dc.contributor.authorPanraksa C.
dc.contributor.correspondencePanraksa C.
dc.contributor.otherMahidol University
dc.date.accessioned2026-04-13T18:25:29Z
dc.date.available2026-04-13T18:25:29Z
dc.date.issued2026-09-01
dc.description.abstractWe develop an explicit finite-sample version of the Borel–Cantelli lemma under m-dependence. Given any m-dependent sequence of events (Ak)<inf>1≤k≤N</inf>, we prove P(⋃k=1NA<inf>k</inf>)≥1−exp(−1m+1∑k=1NP(A<inf>k</inf>)). The proof splits the index set into residue classes modulo m+1, so that each class consists of mutually independent events, and then applies an elementary product-to-exponential bound. We further derive a quantitative windowed corollary: if the partial sums satisfy ∑<inf>k=1</inf><sup>ϕ(n)</sup>P(A<inf>k</inf>)≥n for all n≥1, then for every N≥1 and i≥0, P(⋃k=i+1ϕ(i+N)A<inf>k</inf>)≥1−exp(−Nm+1). Finally, we present a complementary second-order refinement involving local pairwise intersection probabilities. These results complement the asymptotic and rate results of Lu et al. (2026) by providing explicit finite-N bounds and a simple comparison framework for the baseline and second-order estimates.
dc.identifier.citationStatistics and Probability Letters Vol.236 (2026)
dc.identifier.doi10.1016/j.spl.2026.110775
dc.identifier.issn01677152
dc.identifier.scopus2-s2.0-105035007599
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/116188
dc.rights.holderSCOPUS
dc.subjectMathematics
dc.subjectDecision Sciences
dc.titleA finite-sample Borel–Cantelli inequality under m-dependence
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105035007599&origin=inward
oaire.citation.titleStatistics and Probability Letters
oaire.citation.volume236
oairecerif.author.affiliationMahidol University

Files

Collections