Stochastic ModelsPub Date : 2022-08-09DOI: 10.1080/15326349.2022.2107667
S. Inoue, S. Yamada, T. Fujiwara
{"title":"Economic shipping policies for assuring safety integrity level of E/E/PE safety-related software","authors":"S. Inoue, S. Yamada, T. Fujiwara","doi":"10.1080/15326349.2022.2107667","DOIUrl":"https://doi.org/10.1080/15326349.2022.2107667","url":null,"abstract":"","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44822469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stochastic ModelsPub Date : 2022-07-04DOI: 10.1080/15326349.2023.2185257
Martin Bladt, Clara Brimnes Gardner
{"title":"Joint discrete and continuous matrix distribution modeling","authors":"Martin Bladt, Clara Brimnes Gardner","doi":"10.1080/15326349.2023.2185257","DOIUrl":"https://doi.org/10.1080/15326349.2023.2185257","url":null,"abstract":"In this paper we introduce a bivariate distribution on $mathbb{R}_{+} times mathbb{N}$ arising from a single underlying Markov jump process. The marginal distributions are phase-type and discrete phase-type distributed, respectively, which allow for flexible behavior for modeling purposes. We show that the distribution is dense in the class of distributions on $mathbb{R}_{+} times mathbb{N}$ and derive some of its main properties, all explicit in terms of matrix calculus. Furthermore, we develop an effective EM algorithm for the statistical estimation of the distribution parameters. In the last part of the paper, we apply our methodology to an insurance dataset, where we model the number of claims and the mean claim sizes of policyholders, which is seen to perform favorably. An additional consequence of the latter analysis is that the total loss size in the entire portfolio is captured substantially better than with independent phase-type models.","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41511202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stochastic ModelsPub Date : 2022-06-07DOI: 10.1080/15326349.2022.2081206
M. Telek
{"title":"Transient analysis of Markov modulated processes with Erlangization, ME-fication and inverse Laplace transformation","authors":"M. Telek","doi":"10.1080/15326349.2022.2081206","DOIUrl":"https://doi.org/10.1080/15326349.2022.2081206","url":null,"abstract":"Abstract The paper investigates the relation of random clock based and numerical inverse Laplace transformation based transient analysis of Continuous time Markov chains (CTMCs) and Markov fluid models (MFMs) and proves that these methods are identical. This identity leads to new intuitive understanding about the analysis approaches.","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46544739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stochastic ModelsPub Date : 2022-06-07DOI: 10.1080/15326349.2022.2080709
Arash Fahim, Lingjiong Zhu
{"title":"Asymptotic analysis for optimal dividends in a dual risk model","authors":"Arash Fahim, Lingjiong Zhu","doi":"10.1080/15326349.2022.2080709","DOIUrl":"https://doi.org/10.1080/15326349.2022.2080709","url":null,"abstract":"<p><b>Abstract</b></p><p>The dual risk model is a popular model in finance and insurance, which is often used to model the wealth process of a venture capital or high tech company. Optimal dividends have been extensively studied in the literature for a dual risk model. It is well known that the value function of this optimal control problem does not yield closed-form solutions except in some special cases. In this paper, we study the asymptotics of the optimal dividend problem when the parameters of the model go to either zero or infinity. Our results provide insights to the optimal strategies and the optimal values when the parameters are extreme.</p>","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138536192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stochastic ModelsPub Date : 2022-05-20DOI: 10.1080/15326349.2022.2074458
Jacob Bergquist, K. Sigman
{"title":"Stationary workload and service times for some nonwork-conserving M/G/1 preemptive LIFO queues","authors":"Jacob Bergquist, K. Sigman","doi":"10.1080/15326349.2022.2074458","DOIUrl":"https://doi.org/10.1080/15326349.2022.2074458","url":null,"abstract":"Abstract We analyze two nonwork-conserving variations of the M/G/1 preemptive last-in first-out (LIFO) queue with emphasis on deriving explicit expressions for the limiting (stationary) distributions of service times found in service by an arrival, workload and a variety of related quantities of interest. Workload is also used as a tool to derive the proportion of time that the system is busy, and stability conditions. In the first model, known as preemptive-repeat different (PRD), preempted customers are returned to the front of the queue with a new independent and identically distributed service time. In the second, known as preemptive-repeat identical (PRI), they are returned to the front of the queue with their original service time. Our analysis is based on queueing theory methods such as the Rate Conservation Law, PASTA, regenerative process theory and Little’s Law ( ). For the second model we even derive the joint distribution of age and excess of the service time found in service by an arrival, and find they are quite different from what is found in standard work-conserving models. We also give heavy-traffic limits and tail asymptotics for stationary workload for both models, as well as deriving an implicit representation for the distribution of sojourn time by introducing an alternative effective service time distribution.","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41961674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stochastic ModelsPub Date : 2022-05-01DOI: 10.1080/15326349.2022.2066130
M. Haviv, Yoav Kerner
{"title":"Queueing with priorities and standard service: Stoppable and unstoppable servers","authors":"M. Haviv, Yoav Kerner","doi":"10.1080/15326349.2022.2066130","DOIUrl":"https://doi.org/10.1080/15326349.2022.2066130","url":null,"abstract":"Abstract We derive the mean waiting times in an M/G/1 priority queue when the decision who receives the current completed service (production) is determined at the end of the service period. We consider two variations of this scheme. The first is when the server works only when customers are present, while the second is when the server works on a nonstop basis but scraps its work if production is completed when there are no customers in line. We show that for the former variant (whose overall mean is as in the standard head-of-the-line (HOL) priority model), the gain from this scheme in comparison with the HOL case is monotone increasing with the priority level (being positive for the higher classes and negative for the lower classes).","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43798461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stochastic ModelsPub Date : 2022-04-28DOI: 10.1080/15326349.2022.2066128
Lina Bian, G. Wang, Peng Liu
{"title":"Reliability analysis for systems with interactive competing degradation processes and mixed shock effects","authors":"Lina Bian, G. Wang, Peng Liu","doi":"10.1080/15326349.2022.2066128","DOIUrl":"https://doi.org/10.1080/15326349.2022.2066128","url":null,"abstract":"","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45818031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stochastic ModelsPub Date : 2022-04-25DOI: 10.1080/15326349.2022.2093374
N. H. Nguyen, M. Kimmel
{"title":"Stochastic models of stem cells and their descendants under different criticality assumptions","authors":"N. H. Nguyen, M. Kimmel","doi":"10.1080/15326349.2022.2093374","DOIUrl":"https://doi.org/10.1080/15326349.2022.2093374","url":null,"abstract":"Abstract We study time continuous branching processes with exponentially distributed lifetimes, with two types of cells that proliferate according to binary fission. A range of possible system dynamics are considered, each of which is characterized by the mutation rate of the original cells and the survival probability of the altered cells’ progeny. For each system, we derive a closed-form expression for the joint probability generating function of cell counts, and perform asymptotic analysis on the behaviors of the cell population with particular focus on probability of extinction. Part of our results confirms known properties of branching processes using a different approach while other are original. While the model is best suited for modeling the fate of differentiating stem cells, we discuss other scenarios in which these system dynamics may be applicable in real life. We also discuss the history of the subject.","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43314445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stochastic ModelsPub Date : 2022-04-15DOI: 10.1080/15326349.2022.2063335
Y. Slaoui
{"title":"Bernstein polynomial of recursive regression estimation with censored data","authors":"Y. Slaoui","doi":"10.1080/15326349.2022.2063335","DOIUrl":"https://doi.org/10.1080/15326349.2022.2063335","url":null,"abstract":"Abstract In this paper, we deal with the problem of the regression estimation near the edges under censoring. For this purpose, we consider a new recursive estimator based on the stochastic approximation algorithm and Bernstein polynomials of the regression function when the response random variable is subject to random right censoring. We give the central limit theorem and the strong pointwise convergence rate for our proposed nonparametric recursive estimators under some mild conditions. Finally, we provide pointwise moderate deviation principles (MDP) for the proposed estimators. We corroborate these theoretical results through simulations as well as the analysis of a real data set.","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44025412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stochastic ModelsPub Date : 2022-04-06DOI: 10.1080/15326349.2022.2055073
S. Yadav, A. Laha
{"title":"Coalescence in branching processes with age dependent structure in population","authors":"S. Yadav, A. Laha","doi":"10.1080/15326349.2022.2055073","DOIUrl":"https://doi.org/10.1080/15326349.2022.2055073","url":null,"abstract":"Abstract Branching process and their variants are a widely used mathematical model in the study of population dynamics, in which all individuals in a given generation produces some random number of individuals for the next generation. In the recent past, branching process has also found applications in areas like operations research, marketing, finance, genetics etc. A problem that has caught attention in the context of coalescence in branching process is as follows: Assume that the branching process is started by one individual in 0th generation and the population size of the tree obtained by branching process in generation n is greater than 1. Next, pick two individuals from n th generation at random and trace their lines of descent back till they meet. Call that random generation by Xn . The objective is to study the properties of Xn . While this problem has been studied by many authors for simple and multitype discrete time branching processes, not much attention has been given for the realistic extension when one individual is allowed to survive for more than one generation and can also give birth more than once. We study this problem for some deterministic and random cases. Explicit expressions about some mathematical properties of Xn have been derived for broad classes of deterministic trees. For random trees, we provide explicit expression for some special cases. We also derive properties of Xn as n goes to infinity. Additionally, simulation analysis has also been performed and some interesting insights are discussed.","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48088010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}