title: Modeling Finite-Time Failure Probabilities in Risk Analysis Applications.
abstract: In this article, we introduce a framework for analyzing the risk of systems failure based on estimating the failure probability. The latter is defined as the probability that a certain risk process, characterizing the operations of a system, reaches a possibly time-dependent critical risk level within a finite-time interval. Under general assumptions, we define two dually connected models for the risk process and derive explicit expressions for the failure probability and also the joint probability of the time of the occurrence of failure and the excess of the risk process over the risk level. We illustrate how these probabilistic models and results can be successfully applied in several important areas of risk analysis, among which are systems reliability, inventory management, flood control via dam management, infectious disease spread, and financial insolvency. Numerical illustrations are also presented.
authors.affiliation: Cass Business School, City University London, 106 Bunhill Row, EC1Y 8TZ, London, UK.
authors.forename: Dimitrina S
authors.initials: DS
authors.lastname: Dimitrova
authors.affiliation: Cass Business School, City University London, 106 Bunhill Row, EC1Y 8TZ, London, UK.
authors.forename: Vladimir K
authors.initials: VK
authors.lastname: Kaishev
authors.affiliation: Cass Business School, City University London, 106 Bunhill Row, EC1Y 8TZ, London, UK.
authors.forename: Shouqi
authors.initials: S
authors.lastname: Zhao
mesh_terms: D055868:Floods; D008962:Models, Theoretical; D011336:Probability; D018570:Risk Assessment
keywords: Alarm time; Appell polynomials; dam overtopping; dependent risk modeling; finite-time failure probability