metro systems on the development of land use along the routes. However, the effects of metro network structure on land use … coverage data and metro network data from Wuhan, China, spanning the period from 2014 to 2019. A complex network model is … employed to analyze changes in the metro network structure, and the GTWR model is employed to investigate the impact of the of …

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 …

This paper proposes a dynamic spatial autoregressive quantile model. Using predetermined network information, we study …, and the associated asymptotic theory for estimation is also provided. Simulation results show that our model performs well … at various quantile levels with different network structure, especially when the node size increases. Finally we …

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 autoregression …

The complex tail dependency structure in a dynamic network with a large number of nodes is an important object to study …. Here we propose a network quantile autoregression model (NQAR), which characterizes the dynamic quantile behavior. Our NQAR … assumptions on the network structure. For this propose we develop a network Bahadur representation that gives us direct insight …