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Qingwu Gao,Erli Zhang,Na Jin 대한수학회 2015 대한수학회보 Vol.52 No.3
Recently, Li [12] gave an asymptotic formula for the ultimate ruin probability in a delayed-claim risk model with constant force of interest and pairwise quasi-asymptotically independent and extendedregularly- varying-tailed claims. This paper extends Li’s result to the case in which the risk model is perturbed by diffusion, the claims are consistently-varying-tailed and the main-claim interarrival times are widely lower orthant dependent.
Qingwu Gao,Di Bao 대한수학회 2014 대한수학회지 Vol.51 No.4
This paper studies the asymptotic behavior of the finite-time ruin probability in a jump-diffusion risk model with constant force of in- terest, upper tail asymptotically independent claims and a general count- ing arrival process. Particularly, if the claim inter-arrival times follow a certain dependence structure, the obtained result also covers the case of the infinite-time ruin probability.
Randomly weighted sums with dominated varying-tailed increments and application to risk theory
Qingwu Gao,Yuebao Wang 한국통계학회 2010 Journal of the Korean Statistical Society Vol.39 No.3
This paper achieves some weakly asymptotic formulas of the tail probability of randomly weighted sums Pni D1 iXi and their maxima, where fXi; i 1g are bivariate upper tail independent random variables with common distribution F belonging to the dominant variation class, and fi; i 1g are other nonnegative random variables and independent of fXi; i 1g. Particularly, when F belongs to the consistent variation class, some asymptotic formulas are established. An application to risk theory is proposed. The obtained results extend and improve the existing results of Zhang, Shen, and Weng (2009).
Gao, Qingwu,Yang, Yang Korean Mathematical Society 2013 대한수학회보 Vol.50 No.2
In the paper we study the finite-time ruin probability in a general risk model with constant interest force, in which the claim sizes are pairwise quasi-asymptotically independent and arrive according to an arbitrary counting process, and the premium process is a general stochastic process. For the case that the claim-size distribution belongs to the consistent variation class, we obtain an asymptotic formula for the finite-time ruin probability, which holds uniformly for all time horizons varying in a relevant infinite interval. The obtained result also includes an asymptotic formula for the infinite-time ruin probability.
Gao, Qingwu,Bao, Di Korean Mathematical Society 2014 대한수학회지 Vol.51 No.4
This paper studies the asymptotic behavior of the finite-time ruin probability in a jump-diffusion risk model with constant force of interest, upper tail asymptotically independent claims and a general counting arrival process. Particularly, if the claim inter-arrival times follow a certain dependence structure, the obtained result also covers the case of the infinite-time ruin probability.
Gao Qingwu,Liu Xijun 한국통계학회 2020 Journal of the Korean Statistical Society Vol.49 No.2
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 weights can take values in the whole real space. The obtained results extend and improve some existing ones. An application of the weakly asymptotic formulas is proposed to estimate the ruin probability in a discrete-time risk model.
Gao, Qingwu,Zhang, Erli,Jin, Na Korean Mathematical Society 2015 대한수학회보 Vol.52 No.3
Recently, Li [12] gave an asymptotic formula for the ultimate ruin probability in a delayed-claim risk model with constant force of interest and pairwise quasi-asymptotically independent and extended-regularly-varying-tailed claims. This paper extends Li's result to the case in which the risk model is perturbed by diffusion, the claims are consistently-varying-tailed and the main-claim interarrival times are widely lower orthant dependent.
李?武(LI QINGWU) 동아대학교 법학연구소 2016 國際去來와 法 Vol.- No.15
“The Berne Union General Understanding”(BUGU) which regulating the business of the international export credit insurers, is the result of consultations among the developed countries, summarizing the successful experience of different export credit insurance. Although BUGU belongs to soft law, the mandatory provisions are binding on its members. The purpose of the Export Credit Insurance Company of China is for realizing the policy of export and investment abroad. Its government-run and monopoly status without legal regulation is not conducive to the implementation of Chinas exports and foreign investment policies, but also leads to the loss of state assets. This paper illuminates the problems to which the China Export & Credit Insurance faces, for example, the system of governance structure is illegal, and the mandatory plan for the sum insured by export credit insurance violates the basic principles of underwriting, and the information of insurance coverage is not published for the public, and there are many King provisions in insurance contract. To deal with the above problems, this paper discusses some proposed countermeasures with the enlightenment of BUGU and the experience of developed countries.
Human Visual System based Automatic Underwater Image Enhancement in NSCT domain
( Yan Zhou ),( Qingwu Li ),( Guanying Huo ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.2
Underwater image enhancement has received considerable attention in last decades, due to the nature of poor visibility and low contrast of underwater images. In this paper, we propose a new automatic underwater image enhancement algorithm, which combines nonsubsampled contourlet transform (NSCT) domain enhancement techniques with the mechanism of the human visual system (HVS). We apply the multiscale retinex algorithm based on the HVS into NSCT domain in order to eliminate the non-uniform illumination, and adopt the threshold denoising technique to suppress underwater noise. Our proposed algorithm incorporates the luminance masking and contrast masking characteristics of the HVS into NSCT domain to yield the new HVS-based NSCT. Moreover, we define two nonlinear mapping functions. The first one is used to manipulate the HVS-based NSCT contrast coefficients to enhance the edges. The second one is a gain function which modifies the lowpass subband coefficients to adjust the global dynamic range. As a result, our algorithm can achieve contrast enhancement, image denoising and edge sharpening automatically and simultaneously. Experimental results illustrate that our proposed algorithm has better enhancement performance than state-of-the-art algorithms both in subjective evaluation and quantitative assessment. In addition, our algorithm can automatically achieve underwater image enhancement without any parameter tuning.