9 citations · 10 across the 4 of their papers we have counts for
4 papers
Bridging Theory and Practice: Statistical Inference for Latent Space Models of Networks
Yuang Tian, Jiajin Sun, Yinqiu He
Latent space models have been widely adopted in modeling network data. Developing statistical inference for estimated model parameters enables quantifying associated uncertainty an…
Calibrating Geophysical Predictions under Constrained Probabilistic Distributions
Zhewen Hou, Jiajin Sun, Subashree Venkatasubramanian +3
Machine learning (ML) has shown significant promise in studying complex geophysical dynamical systems, including turbulence and climate processes. Such systems often display sensit…
Semiparametric Modeling and Analysis for Longitudinal Network Data
Yinqiu He, Jiajin Sun, Yuang Tian +2
We introduce a semiparametric latent space model for analyzing longitudinal network data. The model consists of a static latent space component and a time-varying node-specific bas…
Pairwise Covariates-adjusted Block Model for Community Detection
Sihan Huang, Jiajin Sun, Yang Feng
One of the most fundamental problems in network study is community detection. The stochastic block model (SBM) is a widely used model, for which various estimation methods have bee…