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Some notes on multivariate generalized Pareto distributions

机译:关于多元广义Pareto分布的一些注释

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The investigation of multivariate generalized Pareto distributions (GPDs) has begun only recently and there are slightly varying definitions of GPDs available. In this article we investigate the one from Section 5.1 of Falk et al. [Laws of Small Numbers: Extremes and Rare Events, second ed., Birkhauser, Base], 2004], which does not differ in the area of interest from those of other authors. We first give an interpretation of the case of independence in terms of the peaks-over-threshold approach. This case is also used in dimension d = 3 by Falk et al. [Laws of Small Numbers: Extremes and Rare Events, seconded., Birkhauser, Basel, 2004] as a counterexample to show that GP functions are not necessarily distribution functions on their entire support. We generalize this counterexample to an arbitrary dimension d >= 3 and demonstrate also that other GP functions show this behavior. Finally we show that different GPDs can lead to the same conditional probability measure in the area of interest. (C) 2007 Elsevier Inc. All rights reserved.
机译:多元广义帕累托分布(GPD)的研究只是在最近才开始的,可用的GPD定义略有不同。在本文中,我们研究了Falk等人的第5.1节中的内容。 [少量数字:极端和罕见事件,第二版,Birkhauser,基础],2004年,在关注领域与其他作者没有不同。我们首先用“阈值上限”方法来解释独立性的情况。 Falk等人在维数d = 3中也使用了这种情况。作为反例,[少量法则:极端事件和稀有事件,第二,Birkhauser,2004年]显示GP函数不一定在其全部支持上都是分布函数。我们将此反例推广为任意维度d> = 3,并证明其他GP函数也表现出这种行为。最后,我们表明,不同的GPD可以在关注区域导致相同的条件概率测度。 (C)2007 Elsevier Inc.保留所有权利。

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