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Precise large deviations for sums of random vectors with dependent components of consistently varying tails

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Indexed by:期刊论文

First Author:Shen, Xinmei

Correspondence Author:Shen, XM (reprint author), Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China.

Co-author:Niu, Yuqing,Tian, Hailan

Date of Publication:2017-06-01

Journal:FRONTIERS OF MATHEMATICS IN CHINA

Included Journals:SCIE、Scopus

Volume:12

Issue:3

Page Number:711-732

ISSN No.:1673-3452

Key Words:Precise large deviations; multi-dimensional; consistently varying distributions; random sums

Abstract:Let {X (i) = (X (1,i) ,...,X (m,i) )(aS<currency>), i 1} be a sequence of independent and identically distributed nonnegative m-dimensional random vectors. The univariate marginal distributions of these vectors have consistently varying tails and finite means. Here, the components of X (1) are allowed to be generally dependent. Moreover, let N(center dot) be a nonnegative integer-valued process, independent of the sequence {X (i) , i 1}. Under several mild assumptions, precise large deviations for S (n) = I  pound (i=1) (n) X (i) and S (N(t)) = I  pound (i=1) (N(t)) X (i) are investigated. Meanwhile, some simulation examples are also given to illustrate the results.

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