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Closure property and maximum of randomly weighted sums with heavy-tailed increments

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  • Yang, Yang
  • Leipus, Remigijus
  • Šiaulys, Jonas

Abstract

In this paper, we consider the randomly weighted sum S2Θ=Θ1X1+Θ2X2, where the two primary random summands X1 and X2 are real-valued and dependent with long or dominatedly varying tails, and the random weights Θ1 and Θ2 are positive, with values in [a,b], 0

Suggested Citation

  • Yang, Yang & Leipus, Remigijus & Šiaulys, Jonas, 2014. "Closure property and maximum of randomly weighted sums with heavy-tailed increments," Statistics & Probability Letters, Elsevier, vol. 91(C), pages 162-170.
    • Handle: RePEc:eee:stapro:v:91:y:2014:i:c:p:162-170
    DOI: 10.1016/j.spl.2014.04.020
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    References listed on IDEAS

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    1. Ng, K.W. & Tang, Q.H. & Yang, H., 2002. "Maxima of Sums of Heavy-Tailed Random Variables," ASTIN Bulletin, Cambridge University Press, vol. 32(1), pages 43-55, May.
    2. Yang, Yang & Leipus, Remigijus & Šiaulys, Jonas, 2012. "Tail probability of randomly weighted sums of subexponential random variables under a dependence structure," Statistics & Probability Letters, Elsevier, vol. 82(9), pages 1727-1736.
    3. Tang, Qihe & Tsitsiashvili, Gurami, 2003. "Precise estimates for the ruin probability in finite horizon in a discrete-time model with heavy-tailed insurance and financial risks," Stochastic Processes and their Applications, Elsevier, vol. 108(2), pages 299-325, December.
    4. Sgibnev, M. S., 1996. "On the distribution of the maxima of partial sums," Statistics & Probability Letters, Elsevier, vol. 28(3), pages 235-238, July.
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    Cited by:

    1. Demirhan, Haydar & Kalaylioglu, Zeynep, 2015. "On the generalized multivariate Gumbel distribution," Statistics & Probability Letters, Elsevier, vol. 103(C), pages 93-99.
    2. Gustas Mikutavičius & Jonas Šiaulys, 2023. "Product Convolution of Generalized Subexponential Distributions," Mathematics, MDPI, vol. 11(1), pages 1-11, January.

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