Statistics and stochastic modelling applied to forest fire, finance, survival and other areas

在许多领域提出了研究建议，其应用跨越了一系列学科。这项研究可分为四个标题：(i)过去和现在森林火灾的统计分析；（ii）正态拉普拉斯分布的应用——这包括在医学（生存分析）、工程（可靠性）和金融（包括期权定价）中的应用；（iii）对具有幂律尾的现象进行建模和分析，包括统计拟合优度检验——这里的应用非常广泛，包括具有优先依附关系的复杂网络（例如万维网、性伴侣网络等）和各种规模分布，如生物分类群、收入和城市规模；（iv）方向数据的建模和分析——应用领域包括生物学（动物运动方向）、气象学（风向）和地质学（裂缝方向、磁场等）。

Research is proposed in a number of areas, with applications spanning a range of disciplines. The research can be grouped under four headings: (i) statistical analysis of forest-fires past and present; (ii) applications of normal-Laplace distributions - this includes applications in medicine (survival analysis), engineering (reliability) and finance (including option pricing); (iii) modelling and analysis of phenomena with power-law tails, including statistical goodness of fit testing - applications here are widespread including complex networks with preferential attachment (e.g World Wide Web; networks of sexual partners etc.) and various size distributions such as those of biological taxa, incomes and city sizes; (iv) modelling and analysis for directional data - areas of application here include biology (directions of animal movement), meteorology (wind direction) and geology (orientation of fractures, magnetic fields etc.)