常利率下的Cox模型的破产概率

讨论了常利率下的Cox模型的破产概率 ,分别得到了条件破产概率和最终破产概率所满足的积分方程 .     

寿险中的破产理论及应用

本文研究了求解寿险中破产概率的简洁方法 ,得到寿险破产模型 ,设计了求解寿险中的破产概率的一种算法 ,并得到寿险破产概率的一个上界。     

常利率下带干扰的Cox模型的破产概率

讨论了常利率下带干扰的Cox模型的破产概率,分别得到了条件破产概率和最终破产概率所满足的微积分方程.     

相关随机利率下的双二项模型的破产概率

研究带有相关随机利率的双二项风险模型,得到了破产概率的积分表达式,并利用鞅分析的方法得到了破产概率的经典Lundberg上界,另外给出了一个破产概率的比经典Lundberg上界更精确的上界.     

利率为马氏链的离散时间风险模型的破产概率(英文)

本文考虑了带随机利率的离散时间风险模型.在假设利率为马氏链条件下,得到了有限时间和最终破产概率所满足的递推积分方程,以及最终破产概率的Lundberg不等式.     

随机利率下变保费的复合二项模型

本文研究具有随机利率和保费计数为二项过程的离散时间复合二项模型.我们推导出有限时间破产概率的递归式和破产概率的积分方程,并利用归纳法得到破产概率的Lundberg不等式.     

马氏利率下相关险种的离散风险建模和破产概率

在随机利率服从有限齐次Markov链下,建立相关险种离散风险模型,采用递推方法得到了有限时间破产概率的递推等式和最终破产概率的积分等式;给出了有限时间破产概率和最终破产概率的上界,导出了破产时刻余额分布的计算等式.     

竞争型的n元风险模型

保险市场中存在激烈的竞争,针对这种情形提出竞争型的n元风险模型,定义了两种破产时间,利用经典风险模型已有结论和条件期望的性质,得到相应的有限时间破产概率和最终破产概率表达式,以及每个保险公司有限时间破产概率和最终破产概率.     

保险公司的一般再保险策略

本文在保险公司盈余过程服从Cramer-Lundberg模型时,研究了在破产概率最小限制下一般再保险策略的选择问题.利用动态规划的方法,得到了破产概率满足的HJB方程,并证明了方程解的存在性与识别定理;并对最优策略下的破产概率做了近似估计.特别,当理赔服从指数分布时,对比例再保险得到了破产概率的估计式.     

一类索赔为复合Poisson-Geometric过程双险种风险模型的破产概率

对索赔为复合Poisson-Geometric过程的双险种风险模型进行研究,给出了当初始资本为0及索赔额为指数分布下破产概率的具体表达式,并利用鞅方法得到了最终破产概率满足的Lundberg不等式和一般公式.     

Survival probability for a two-dimensional risk model

In this paper, we consider the survival probability for a two-dimensional risk model. We derive a partial integro-differential equation satisfied by the survival probability and prove its differentiability. We obtain explicit expressions for recursively calculating the survival probability by applying the partial integro-differential equation when claims are exponentially distributed.     

A perturbed risk model with dependence between premium rates and claim sizes

This paper considers a dependent risk model with diffusion for the surplus of an insurer, in which a current premium rate will be adjusted after a claim occurs and the adjusted rate is determined by the amount of the claim. At the same time, the diffusion is changed correspondingly. Using Rouché’s theorem, we first derive the closed-form solution for the Laplace transform of the survival probability in the dependent risk model. Then, using the Laplace transform, we derive a defective renewal equation satisfied by the survival probability. For the exponential claim sizes, we present the explicit recursion expression for the survival probability, by which we can exactly solve the survival probability step-by-step. We also illustrate the influence of the model parameters in the dependent risk model on the survival probability by numerical examples.     

具有随机风险的公司最优投资策略

本文讨论具有随机风险的公司的最优投资策略问题,公司投资选择是存款、贷款及股票交易、,因市场的不完备性,公司在任一时刻存在概率为正值的破产可能性,本文主要结果是：从贷款利率高于存款利率的实际出发,运用最优随机控制理论,得到使公司生存概率取得最大值的最优投资策略,以及相应的最大生存概率,并并对这些结果给出了严格证明。     

On a compounding assets model with positive jumps

In this paper, a compounding assets model with positive jumps is proposed. Integral equations and integro‐differential equations for the survival probability and the ruin probability for the proposed model are derived. By using a probability method, an exact expression in the form of series for the ruin probability is obtained. Some closed‐form expressions for the survival probability are deduced by solving certain integro‐differential equations. Copyright © 2007 John Wiley & Sons, Ltd.     

Ruin Probabilities of a Surplus Process Described by PDMPs

In this paper we mainly study the ruin probability of a surplus process described by a piecewise deterministic Markov process （PDMP）. An integro-differential equation for the ruin probability is derived. Under a certain assumption, it can be transformed into the ruin probability of a risk process whose premiums depend on the current reserves. Using the same argument as that in Asmussen and Nielsen, the ruin probability and its upper bounds are obtained. Finally, we give an analytic expression for ruin probability and its upper bounds when the claim-size is exponentially distributed.     

一类具有马氏调制费率的风险模型的破产概率

对于给定的初始状态，本给出了条件破产所满足的积分方程。并推出了在具有平稳初始分布时破产概率的递归不等式和零初始资产时破产概率的一个简洁估计式。     

A perturbed risk model with dependence between premium rates and claim sizes

This paper considers a dependent risk model with diffusion for the surplus of an insurer, in which a current premium rate will be adjusted after a claim occurs and the adjusted rate is determined by the amount of the claim. At the same time, the diffusion is changed correspondingly. Using Rouché’s theorem, we first derive the closed-form solution for the Laplace transform of the survival probability in the dependent risk model. Then, using the Laplace transform, we derive a defective renewal equation satisfied by the survival probability. For the exponential claim sizes, we present the explicit recursion expression for the survival probability, by which we can exactly solve the survival probability step-by-step. We also illustrate the influence of the model parameters in the dependent risk model on the survival probability by numerical examples.     

销售扩散曲线及其数学分析

本文利用概率分布函数来描述销售扩散过程,面对到目前为止的销售扩散曲线,消费者、技术人员和销售人员会有一种"冲动",正是这种"冲动"推动了销售扩散曲线下一步的发展。这种"冲动"可以用统计中生存分析的方法给以描述。我们把这种"冲动"分别与当前的销售扩散曲线、平均销售扩散速度和销售时间联系起来,在数学上构成三类微分方程。利用这些微分方程的解,可以预测出销售最高峰、销售量过50%的时间等。     

具有马氏调制费率的复合Poisson风险模型的破产概率

对于给定的初始状态和初始分布 ,本文分别给出了条件破产概率 Ψi(u)和最终破产概率 Ψ(u)所满足的积分方程 ,并给出了零初始资产时破产概率 Ψ(0 )的明确表达式 .     

Priority dispatching strategies for EMS systems

Emergency medical service (EMS) systems provide urgent medical care and transport. In this study we implement dispatching policies for EMS systems that incorporate the severity of the call in order to increase the survival probability of patients. A simulation model is developed to evaluate the performance of EMS systems. Performance is measured in terms of patients’ survival probability, since survival probability more directly mirrors patient outcomes. Different response strategies are evaluated utilizing several examples to study the nature of the optimal dispatching policy. The results show that dispatching the closest vehicle is not always optimal and dispatching vehicles considering priority of the call leads to an increase in the average survival probability of patients. A heuristic algorithm, that is easy to implement, is developed to dispatch ambulances for large-scale EMS systems. Computational examples show that the dispatching algorithm is valuable in increasing the patients’ survival probability.