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Yuebao Wang

Researcher at Soochow University (Suzhou)

Publications -  56
Citations -  1114

Yuebao Wang is an academic researcher from Soochow University (Suzhou). The author has contributed to research in topics: Distribution (mathematics) & Random variable. The author has an hindex of 18, co-authored 50 publications receiving 956 citations.

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Uniform Asymptotics for the Finite-Time Ruin Probability of a Dependent Risk Model with a Constant Interest Rate

TL;DR: In this article, an asymptotically equivalent formula for the finite-time ruin probability of a nonstandard risk model with a constant interest rate, in which both claim sizes and inter-arrival times follow a certain dependence structure, was given.
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Tail behavior of the product of two dependent random variables with applications to risk theory

TL;DR: In this article, the authors investigated the impact of a dependence structure between X and Y on the tail behavior of their product Z = X. When X has a regularly varying tail, they established an asymptotic formula, which extends Breiman's theorem.
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A note on a dependent risk model with constant interest rate

TL;DR: For a dependent risk model with constant interest rate, in which the claim sizes form a sequence of upper tail asymptotically independent and identically distributed random variables, and their inter-arrival times are another sequence of widely lower orthant dependent as discussed by the authors.
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Basic renewal theorems for random walks with widely dependent increments

TL;DR: In this article, the authors derived some basic renewal theorems for random walks with widely dependent increments, which contain some common negatively dependent random variables (rvs), some positively dependent rvs and some others.
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Uniform asymptotics for the finite-time ruin probabilities of two kinds of nonstandard bidimensional risk models

TL;DR: In this paper, uniform asymptotics for the finite-time ruin probabilities of two kinds of nonstandard bidimensional renewal risk models with constant interest forces and diffusion generated by Brownian motions were derived.