Articles with "randomly weighted" as a keyword



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Randomly weighted sums of conditionally dependent and dominated varying-tailed increments with application to ruin theory

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Published in 2020 at "Journal of The Korean Statistical Society"

DOI: 10.1007/s42952-019-00031-x

Abstract: In this paper, we obtain the weakly asymptotic formulas of the tail probabilities of randomly weighted sums and their maximum of dominated varying-tailed random variables under a general conditional dependence structure, where the corresponding random… read more here.

Keywords: application; weighted sums; ruin; dominated varying ... See more keywords
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Tail probability of randomly weighted sums of dependent subexponential random variables with applications to risk theory

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Published in 2019 at "Journal of Mathematical Analysis and Applications"

DOI: 10.1016/j.jmaa.2019.123389

Abstract: Abstract Following the work of Cheng and Cheng (2018) [6] , we reexamine the tail probability of randomly weighted sums of dependent subexponential random variables. Precisely speaking, let { X n , n ≥ 1… read more here.

Keywords: tail probability; randomly weighted; random variables; random ... See more keywords
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Randomly weighted sums of dependent subexponential random variables with applications to risk theory

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Published in 2018 at "Scandinavian Actuarial Journal"

DOI: 10.1080/03461238.2017.1329160

Abstract: Abstract For any fixed integer , let be real-valued random variables with a common subexponential distribution, and let be positive random variables which are bounded above and independent of . Under some rather loose conditional… read more here.

Keywords: random variables; sums dependent; weighted sums; dependent subexponential ... See more keywords
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Randomly weighted sums and their maxima with heavy-tailed increments and dependence structure

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Published in 2017 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2016.1248785

Abstract: ABSTRACT Consider the randomly weighted sums Sm(θ) = ∑mi = 1θiXi, 1 ⩽ m ⩽ n, and their maxima Mn(θ) = max 1 ⩽ m ⩽ nSm(θ), where Xi, 1 ⩽ i ⩽ n, are real-valued… read more here.

Keywords: dependence structure; weighted sums; randomly weighted; sums maxima ... See more keywords