7 citations · 27 across the 19 of their papers we have counts for
6 papers · 1 filter
Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference
Fangzheng Xie, Hsin-Hsiung Huang
Analyzing multilayer networks is central to understanding complex relational measurements collected across multiple conditions or over time. A pivotal task in this setting is to qu…
Statistical inference of random graphs with a surrogate likelihood function
Dingbo Wu, Fangzheng Xie
Spectral estimators have been broadly applied to statistical network analysis, but they do not incorporate the likelihood information of the network sampling model. This paper prop…
An approximate Bayes factor based high dimensional MANOVA using Random Projections
Roger S Zoh, Fangzheng Xie
High-dimensional mean vector testing problem for two or more groups remain a very active research area. In these setting, traditional tests are not applicable because they involve…
Bayesian Estimation of Sparse Spiked Covariance Matrices in High Dimensions
Fangzheng Xie, Yanxun Xu, Carey E. Priebe +1
We propose a Bayesian methodology for estimating spiked covariance matrices with jointly sparse structure in high dimensions. The spiked covariance matrix is reparametrized in term…
Bayesian Projected Calibration of Computer Models
Fangzheng Xie, Yanxun Xu
We develop a Bayesian approach called Bayesian projected calibration to address the problem of calibrating an imperfect computer model using observational data from a complex physi…
Bayesian Repulsive Gaussian Mixture Model
Fangzheng Xie, Yanxun Xu
We develop a general class of Bayesian repulsive Gaussian mixture models that encourage well-separated clusters, aiming at reducing potentially redundant components produced by ind…