Zhu, Xuening; Wang, Weining; Wang, Hangsheng; Härdle, … - 2016
It is a challenging task to understand the complex dependency structures in an ultra-high dimensional network, especially when one concentrates on the tail dependency. To tackle this problem, we consider a network quantile autoregres- sion model (NQAR) to characterize the dynamic quantile...