With the development of the internet, network data with replications can be collected at
different time points. The spatial autoregressive panel (SARP) model is a useful tool for …

Heterogeneous influence detection across network nodes is an important task in network
analysis. A community influence model (CIM) is proposed to allow nodes to be classified into …

In multiple heterogeneous networks, developing a model that considers both individual and
shared structures is crucial for improving estimation efficiency and interpretability. In this …

Matrix-valued time series data are frequently observed in a broad range of areas and have
attracted great attention recently. In this work, we model network effects for high dimensional …

This paper considers the problem of conducting inference in panel data models with latent
group structures. I introduce a quasi-Bayesian framework that combines general classes of …