probability of a spurious connection in a reconstructed gene network. Estimators of the dFDR can estimate each of three … networks.Availability: Cross-platform software for network reconstruction, probability estimation, and plotting is free from …

We consider here a large-scale social network with a continuous response observed for each node at equally spaced time … investigated. In addition, the network structure is also taken into consideration, for which we propose a network vector …. The corresponding coeffcients are referred to as the momentum effect, the network effect, and the nodal effect …

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 …