Probability in the Engineering and Informational Sciences最新文献

{"title":"Tsallis value-at-risk: generalized entropic value-at-risk","authors":"Zhenfeng Zou, Zichao Xia, Taizhong Hu","doi":"10.1017/s0269964822000444","DOIUrl":"https://doi.org/10.1017/s0269964822000444","url":null,"abstract":"\u0000 Motivated by Ahmadi-Javid (Journal of Optimization Theory Applications, 155(3), 2012, 1105–1123) and Ahmadi-Javid and Pichler (Mathematics and Financial Economics, 11, 2017, 527–550), the concept of Tsallis Value-at-Risk (TsVaR) based on Tsallis entropy is introduced in this paper. TsVaR corresponds to the tightest possible upper bound obtained from the Chernoff inequality for the Value-at-Risk. The main properties and analogous dual representation of TsVaR are investigated. These results partially generalize the Entropic Value-at-Risk by involving Tsallis entropies. Three spaces, called the primal, dual, and bidual Tsallis spaces, corresponding to TsVaR are fully studied. It is shown that these spaces equipped with the norm induced by TsVaR are Banach spaces. The Tsallis spaces are related to the \u0000 \u0000 \u0000 $L^p$\u0000 \u0000 spaces, as well as specific Orlicz hearts and Orlicz spaces. Finally, we derive explicit formula for the dual TsVaR norm.","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"61 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80611417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mean residual life order among largest order statistics arising from resilience-scale models with reduced scale parameters","authors":"Abedin Haidari, M. Sattari, G. Barmalzan","doi":"10.1017/S0269964821000486","DOIUrl":"https://doi.org/10.1017/S0269964821000486","url":null,"abstract":"In this paper, we identify some conditions to compare the largest order statistics from resilience-scale models with reduced scale parameters in the sense of mean residual life order. As an example of the established result, the exponentiated generalized gamma distribution is examined. Also, for the special case of the scale model, power-generalized Weibull and half-normal distributions are investigated.","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"225 1","pages":"72 - 85"},"PeriodicalIF":1.1,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76088971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Asset allocation for a DC pension plan with minimum guarantee constraint and hidden Markov regime-switching","authors":"Liuling Luo, Xingchun Peng","doi":"10.1017/s0269964822000419","DOIUrl":"https://doi.org/10.1017/s0269964822000419","url":null,"abstract":"This paper is devoted to the study of the asset allocation problem for a DC pension plan with minimum guarantee constraint in a hidden Markov regime-switching economy. Suppose that four types of assets are available in the financial market: a risk-free asset, a zero-coupon bond, an inflation-indexed bond and a stock. The expected return rate of the stock depends on unobservable economic states, and the change of states is described by a hidden Markov chain. In addition, the CIR process is used to describe the evolution of the nominal interest rate. The contribution rate is also assumed to be stochastic. The goal of investment management is to minimize the convex risk measure of the terminal wealth in excess of the minimum guarantee constraint. First, we transform the partially observable optimization problem into the one with complete information using the Wonham filtering technique and deal with the minimum guarantee constraint by constructing auxiliary processes. Furthermore, we derive the optimal investment strategy by the BSDE approach. Finally, some numerical results are presented to illustrate the impacts of some important parameters on investment behaviors.","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73641688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resolving an open problem on the hazard rate ordering of p-spacings","authors":"Mahdi Alimohammadi","doi":"10.1017/s0269964822000377","DOIUrl":"https://doi.org/10.1017/s0269964822000377","url":null,"abstract":"<p>Let <span><span><img data-mimesubtype=\"png\" data-type=\"\" src=\"https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20230911112630604-0950:S0269964822000377:S0269964822000377_inline2.png\"/><span data-mathjax-type=\"texmath\"><span>$V_{(r,n,tilde {m}_n,k)}^{(p)}$</span></span></span></span> and <span><span><img data-mimesubtype=\"png\" data-type=\"\" src=\"https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20230911112630604-0950:S0269964822000377:S0269964822000377_inline3.png\"/><span data-mathjax-type=\"texmath\"><span>$W_{(r,n,tilde {m}_n,k)}^{(p)}$</span></span></span></span> be the <span><span><img data-mimesubtype=\"png\" data-type=\"\" src=\"https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20230911112630604-0950:S0269964822000377:S0269964822000377_inline4.png\"/><span data-mathjax-type=\"texmath\"><span>$p$</span></span></span></span>-spacings of generalized order statistics based on absolutely continuous distribution functions <span><span><img data-mimesubtype=\"png\" data-type=\"\" src=\"https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20230911112630604-0950:S0269964822000377:S0269964822000377_inline5.png\"/><span data-mathjax-type=\"texmath\"><span>$F$</span></span></span></span> and <span><span><img data-mimesubtype=\"png\" data-type=\"\" src=\"https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20230911112630604-0950:S0269964822000377:S0269964822000377_inline6.png\"/><span data-mathjax-type=\"texmath\"><span>$G$</span></span></span></span>, respectively. Imposing some conditions on <span><span><img data-mimesubtype=\"png\" data-type=\"\" src=\"https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20230911112630604-0950:S0269964822000377:S0269964822000377_inline7.png\"/><span data-mathjax-type=\"texmath\"><span>$F$</span></span></span></span> and <span><span><img data-mimesubtype=\"png\" data-type=\"\" src=\"https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20230911112630604-0950:S0269964822000377:S0269964822000377_inline8.png\"/><span data-mathjax-type=\"texmath\"><span>$G$</span></span></span></span> and assuming that <span><span><img data-mimesubtype=\"png\" data-type=\"\" src=\"https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20230911112630604-0950:S0269964822000377:S0269964822000377_inline9.png\"/><span data-mathjax-type=\"texmath\"><span>$m_1=cdots =m_{n-1}$</span></span></span></span>, Hu and Zhuang (2006. Stochastic orderings between <span>p</span>-spacings of generalized order statistics from two samples. <span>Probability in the Engineering and Informational Sciences</span> 20: 475) established <span><span><img data-mimesubtype=\"png\" data-type=\"\" src=\"https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20230911112630604-0950:S0269964822000377:S0269964822000377_inline10.png\"/><span data-mathjax-type=\"texmath\"><span>$V_{(r,n,tilde {m}_n,k)}^{(p)} leq _{{rm hr}} W_{(r,n,til","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"15 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing a single hyper-exponential working vacation queue from its governing difference equation","authors":"Miaomiao Yu, Yinghui Tang","doi":"10.1017/s0269964822000365","DOIUrl":"https://doi.org/10.1017/s0269964822000365","url":null,"abstract":"\u0000 As the queue becomes exhausted, different maintenance tasks can be performed according to the fatigue load and wear degree of the service equipment. At the same time, considering the customer's sensitivity to time delay, the service facility will not completely remain inactive during the maintenance period. To describe this objectively existing phenomenon arising in the waiting line system, we consider a hyper-exponential working vacation queue with a batch renewal arrival process. Through the calculation of the well-structured roots of the associated characteristic equation, the shift operator method in the theory of difference equations and the supplementary variable technique for stochastic modeling plays a central role in the queue-length distribution analysis. Comparison with other ways to analyze queueing models, the advantage of our approach is that we can avoid deriving the complex transition probability matrix of the queue-length process embedded at input points. The feasibility of this approach is verified by extensive numerical examples.","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"4 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76317586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A class of non-zero-sum stochastic differential games between two mean–variance insurers under stochastic volatility","authors":"Jiannan Zhang, Ping Chen, Z. Jin, Shuanming Li","doi":"10.1017/S0269964822000353","DOIUrl":"https://doi.org/10.1017/S0269964822000353","url":null,"abstract":"This paper studies the open-loop equilibrium strategies for a class of non-zero-sum reinsurance–investment stochastic differential games between two insurers with a state-dependent mean expectation in the incomplete market. Both insurers are able to purchase proportional reinsurance contracts and invest their wealth in a risk-free asset and a risky asset whose price is modeled by a general stochastic volatility model. The surplus processes of two insurers are driven by two standard Brownian motions. The objective for each insurer is to find the equilibrium investment and reinsurance strategies to balance the expected return and variance of relative terminal wealth. Incorporating the forward backward stochastic differential equations (FBSDEs), we derive the sufficient conditions and obtain the general solutions of equilibrium controls for two insurers. Furthermore, we apply our theoretical results to two special stochastic volatility models (Hull–White model and Heston model). Numerical examples are also provided to illustrate our results.","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"1 1","pages":"491 - 517"},"PeriodicalIF":1.1,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82071592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A negative binomial approximation in group testing","authors":"Letian Yu, Fraser Daly, Oliver Johnson","doi":"10.1017/s026996482200033x","DOIUrl":"https://doi.org/10.1017/s026996482200033x","url":null,"abstract":"<p>We consider the problem of group testing (pooled testing), first introduced by Dorfman. For nonadaptive testing strategies, we refer to a nondefective item as “intruding” if it only appears in positive tests. Such items cause misclassification errors in the well-known COMP algorithm and can make other algorithms produce an error. It is therefore of interest to understand the distribution of the number of intruding items. We show that, under Bernoulli matrix designs, this distribution is well approximated in a variety of senses by a negative binomial distribution, allowing us to understand the performance of the two-stage conservative group testing algorithm of Aldridge.</p>","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"10 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On stochastic ordering among extreme shock models","authors":"Sirous Fathi Manesh, Muhyiddin Izadi, Baha-Eldin Khaledi","doi":"10.1017/s0269964822000328","DOIUrl":"https://doi.org/10.1017/s0269964822000328","url":null,"abstract":"\u0000 In the usual shock models, the shocks arrive from a single source. Bozbulut and Eryilmaz [(2020). Generalized extreme shock models and their applications. Communications in Statistics – Simulation and Computation49(1): 110–120] introduced two types of extreme shock models when the shocks arrive from one of \u0000 \u0000 \u0000 $mgeq 1$\u0000 \u0000 possible sources. In Model 1, the shocks arrive from different sources over time. In Model 2, initially, the shocks randomly come from one of \u0000 \u0000 \u0000 $m$\u0000 \u0000 sources, and shocks continue to arrive from the same source. In this paper, we prove that the lifetime of Model 1 is less than Model 2 in the usual stochastic ordering. We further show that if the inter-arrival times of shocks have increasing failure rate distributions, then the usual stochastic ordering can be generalized to the hazard rate ordering. We study the stochastic behavior of the lifetime of Model 2 with respect to the severity of shocks using the notion of majorization. We apply the new stochastic ordering results to show that the age replacement policy under Model 1 is more costly than Model 2.","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"28 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76064069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PES volume 36 issue 4 Cover and Front matter","authors":"","doi":"10.1017/s0269964822000389","DOIUrl":"https://doi.org/10.1017/s0269964822000389","url":null,"abstract":"","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"60 1","pages":"f1 - f2"},"PeriodicalIF":1.1,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91014649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extreme Behaviors of the Tail Gini-Type Variability Measures","authors":"Hong-Jie Sun, Yu Chen","doi":"10.1017/s0269964822000304","DOIUrl":"https://doi.org/10.1017/s0269964822000304","url":null,"abstract":"\u0000 For a bivariate random vector \u0000 \u0000 \u0000 $(X, Y)$\u0000 \u0000 , suppose \u0000 \u0000 \u0000 $X$\u0000 \u0000 is some interesting loss variable and \u0000 \u0000 \u0000 $Y$\u0000 \u0000 is a benchmark variable. This paper proposes a new variability measure called the joint tail-Gini functional, which considers not only the tail event of benchmark variable \u0000 \u0000 \u0000 $Y$\u0000 \u0000 , but also the tail information of \u0000 \u0000 \u0000 $X$\u0000 \u0000 itself. It can be viewed as a class of tail Gini-type variability measures, which also include the recently proposed tail-Gini functional. It is a challenging and interesting task to measure the tail variability of \u0000 \u0000 \u0000 $X$\u0000 \u0000 under some extreme scenarios of the variables by extending the Gini's methodology, and the two tail variability measures can serve such a purpose. We study the asymptotic behaviors of these tail Gini-type variability measures, including tail-Gini and joint tail-Gini functionals. The paper conducts this study under both tail dependent and tail independent cases, which are modeled by copulas with so-called tail order property. Some examples are also shown to illuminate our results. In particular, a generalization of the joint tail-Gini functional is considered to provide a more flexible version.","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"8 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87532975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}