100 citations · 204 across the 32 of their papers we have counts for
6 papers · 1 filter
Hierarchical Clustering of Networks via Hierarchical Distance Matrices
Li Chen, Nathaniel Josephs, Eric D. Kolaczyk +1
Clustering populations of networks while recovering their latent hierarchical organization is a fundamental yet largely unexplored problem in network analysis. To formalize this, w…
Nested stochastic block model for simultaneously clustering networks and nodes
Nathaniel Josephs, Arash A. Amini, Marina Paez +1
We introduce the nested stochastic block model (NSBM) to cluster a collection of networks while simultaneously detecting communities within each network. NSBM has several appealing…
Bayesian community detection for networks with covariates
Luyi Shen, Arash Amini, Nathaniel Josephs +1
The increasing prevalence of network data in a vast variety of fields and the need to extract useful information out of them have spurred fast developments in related models and al…
Bayesian Optimal Two-sample Tests in High-dimension
Kyoungjae Lee, Kisung You, Lizhen Lin
We propose optimal Bayesian two-sample tests for testing equality of high-dimensional mean vectors and covariance matrices between two populations. In many applications including g…
Hypothesis testing for populations of networks
Li Chen, Jie Zhou, Lizhen Lin
It has become an increasingly common practice for scientists in modern science and engineering to collect samples of multiple network data in which a network serves as a basic data…
Bayesian Monotone Regression using Gaussian Process Projection
Lizhen Lin, David B. Dunson
Shape constrained regression analysis has applications in dose-response modeling, environmental risk assessment, disease screening and many other areas. Incorporating the shape con…