论文标题
pot味的选择依赖功能的估计器
POT-flavored estimator of Pickands dependence function
论文作者
论文摘要
这项工作提出了一个具有阈值峰值和块 - 最大风味的估计器,它使用它来估计双变量时间序列的挑选和依赖性功能,并说明它如何降低渐近偏置和整体平方误差。
This work proposes an estimator with both Peak-Over-Threshold and Block-Maxima flavors, uses it to estimate the Pickands dependence function of bivariate time series, and illustrates how it brings down the asymptotic bias and the overall mean squared error.