4 papers
Dynamic Latent Space Modeling of Inhomogeneous Poisson Network Processes with Applications to International Relations
Jie Jian, Jiguo Cao, Owen G. Ward
We study continuous-time relational event data, where time-stamped dyadic interactions reflect both individual node propensities and evolving relational proximity. We propose a dyn…
Bayesian Poisson-Randomized Gamma Tensor Factorization with Application to International Trade Flows
Jie Jian, Aaron Schein
We study sparse semi-continuous tensor data with excess zeros, heavy right tails, and slice-specific dispersion. Such features arise naturally in monetary-valued multi-way data, su…
Restricted Tweedie Stochastic Block Models
Jie Jian, Mu Zhu, Peijun Sang
The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. Howeve…
Two Gaussian regularization methods for time-varying networks
Jie Jian, Peijun Sang, Mu Zhu
We model time-varying network data as realizations from multivariate Gaussian distributions with precision matrices that change over time. To facilitate parameter estimation, we re…