Statistical analysis of risk, failure, and extreme event propagation in the airline industry using multi-level networks.

该项目的目标是建立多层次网络上极端事件导致的风险扩散的数学模型，并利用极值理论、现代数理统计结果和网络理论等先进的数学工具来分析模型并将定量结果与真实数据进行比较。特别是，我们将在航空业的背景下研究这一问题，其中飞机的电子或机械部件的故障会对部件供应网络、航空公司网络和航空公司的保险公司网络层面产生影响。该项目的主要目标是估计网络一个层面上的极端事件对另一个层面产生重大后果的概率；并对网络各层中不同参与者的此类极端事件的成本进行建模。特别令人感兴趣的是对飞机关键部件发生故障的概率以及此类故障导致航空公司发生灾难性事件并最终导致保险公司遭受巨大损失的频率的估计。

The goal of this project is to build a mathematical model for the spread of risk due to extreme events on multi-level networks and use advanced mathematical tools such as extreme value theory, modern results of mathematical statistics, and network theory, to analyse the model and compare the quantitative outcomes to real data. In particular, we will study this in the setting of the airline industry where failure of an electronic or mechanical component of an aircraft has an impact at the level of the component supply network, the airline network, and the airlines' insurer network.The key goals of this project are to estimate the probability that an extreme event on one level of the network has significant consequences on another level; and model the costs of such extreme events for the different actors in the various layers of the network. Of particular interest is the estimation of the probability of failure of a critical component in an aircraft and the frequency with which such a failure results in a catastrophic event for an airline and ultimately in an extreme loss for insurers.