EVA 2015: The 9th International Conference on Extreme Value Analysis

该奖项支持学生和初级研究人员参加2015年6月15日至19日在密歇根大学安娜堡市举行的第九届国际极值分析（EVA）会议。EVA会议是国际统计界研究极值理论和应用的旗舰活动。这些会议每两年在世界各地举行一次。第九届EVA会议将聚集在该领域的大多数国际公认的专家以及一大批学生和初级研究人员。第九届会议将重点介绍极值理论及其应用的最新发展。这是统计的一个领域，它提供了对涉及非常大（极端）值的事件的概率和大小进行建模、估计和预测的工具。极值理论被广泛用于模拟和量化保险和金融中的极端损失风险，在许多工程和环境应用中，以及量化和预测极端天气和气候。即将召开的EVA会议的议程包括来自极值理论一般领域的四个主题：(i)统计理论；（ii）概率论；(3)应用程序;（四）新兴理论与应用。主题(i)涉及多元极值推理、回归、稳健性、分位数回归以及空间和时空极值的进展。主题（ii）涵盖最大稳定过程，几何和极值，大偏差，高斯过程的极值，时间序列和随机场。主题（iii）的特点是在降水和极端环境、金融、保险以及极端气候的探测和归因方面的应用。主题（iv）探讨了随机网络中的极值、高维数据和代数拓扑等新主题。会议网址：http://sites.lsa.umich.edu/eva2015/

This award supports participation by students and junior researchers in the 9th International Conference on Extreme Value Analysis (EVA) held at the University of Michigan, Ann Arbor, June 15-19, 2015. The EVA conferences are the flagship events for the international statistics community doing research on the theory and applications of extreme values. These conferences take place every two years around the world. The 9th EVA conference will gather the majority of the internationally recognized experts in the field as well as a large group of students and junior researchers. The 9th conference will feature recent developments in extreme value theory and its applications. This is the area of statistics that provides tools for modeling, estimation, and prediction of the probabilities and magnitudes of events involving very large (extreme) values. Extreme value theory is widely used to model and quantify risk of extreme losses in insurance and finance, in many engineering and environmental applications, as well as in quantifying and predicting weather and climate extremes. The program of the forthcoming EVA conference features four themes from the general area of Extreme Value Theory: (i) statistical theory; (ii) probability theory; (iii) applications; (iv) emerging theory and applications. Theme (i) involves advances on the inference for multivariate extremes, regression, robustness, quantile regression, and spatial and spatio-temporal extremes. Theme (ii) covers max-stable processes, geometry and extremes, large deviations, extremes for Gaussian processes, time series, and random fields. Theme (iii) features applications to precipitation and environmental extremes, finance, insurance, and detection and attribution of climate extremes. Theme (iv) explores new topics such as extremes in random networks, high-dimensional data, and algebraic topology.Conference web site: http://sites.lsa.umich.edu/eva2015/