• Title/Summary/Keyword: Borel-Cantelli lemma

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THE CONDITIONAL BOREL-CANTELLI LEMMA AND APPLICATIONS

  • Chen, Qianmin;Liu, Jicheng
    • Journal of the Korean Mathematical Society
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    • v.54 no.2
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    • pp.441-460
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    • 2017
  • In this paper, we establish some conditional versions of the first part of the Borel-Cantelli lemma. As its applications, we study strong limit results of $\mathfrak{F}$-independent random variables sequences, the convergence of sums of $\mathfrak{F}$-independent random variables and the conditional version of strong limit results of the concomitants of order statistics.

ON THE INCREMENTS OF (N, d)-GAUSSIAN PROCESSES

  • Choi Yong-Kab;Hwang Kyo-Shin
    • Proceedings of the Korean Statistical Society Conference
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    • 2000.11a
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    • pp.115-118
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    • 2000
  • In this paper we establish limit results on the increments of (N, d)-Gaussian processes with independent components, via estimating upper bounds of large deviation probabilities on the suprema of (N, d)-Gaussian processes.

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On Lag Increments Of A Gaussian Process

  • Choi, Yong-Kab;Choi, Jin-Hee
    • Communications of the Korean Mathematical Society
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    • v.15 no.2
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    • pp.379-390
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    • 2000
  • In this paper the limit theorems on lag increments of a Wiener process due to Chen, Kong and Lin [1] are developed to the case of a Gaussian process via estimating upper bounds of large deviation probabilities on suprema of the Gaussian process.

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Superior and Inferior Limits on the Increments of Gaussian Processes

  • Park, Yong-Kab;Hwang, Kyo-Shin;Park, Soon-Kyu
    • Journal of the Korean Statistical Society
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    • v.26 no.1
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    • pp.57-74
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    • 1997
  • Csorgo-Revesz type theorems for Wiener process are developed to those for Gaussian process. In particular, some results of superior and inferior limits for the increments of a Gaussian process are differently obtained under mild conditions, via estimating probability inequalities on the suprema of a Gaussian process.

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THE ALMOST SURE CONVERGENCE FOR THE IDENTICALLY DISTRIBUTED NEGATIVELY ASSOCIATED RANDOM VARIABLES WITH INFINITE MEANS

  • Kim, Hyun-Chull
    • Journal of applied mathematics & informatics
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    • v.28 no.1_2
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    • pp.363-372
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    • 2010
  • In this paper we prove the almost sure convergence of partial sums of identically distributed and negatively associated random variables with infinite expectations. Some results in Kruglov[Kruglov, V., 2008 Statist. Probab. Lett. 78(7) 890-895] are considered in the case of negatively associated random variables.