173 citations · 349 across the 20 of their papers we have counts for
21 papers
Byzantine-tolerant distributed learning of finite mixture models under partial corruptions
Yimei Zhang, Jiahua Chen, Xiaozhou Wang +2
Finite mixture models characterize heterogeneous populations and are increasingly fitted to distributed data using split-and-conquer procedures that aggregate local mixture estimat…
Global Consistency of Empirical Likelihood
Haodi Liang, Jiahua Chen
This paper develops several interesting, significant, and interconnected approaches to nonparametric or semi-parametric statistical inferences. The overwhelmingly favoured maximum…
Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures
Qiong Zhang, Jiahua Chen
When a population exhibits heterogeneity, we often model it via a finite mixture: decompose it into several different but homogeneous subpopulations. Contemporary practice favors l…
Density ratio model with data-adaptive basis function
Archer Gong Zhang, Jiahua Chen
In many applications, we collect independent samples from interconnected populations. These population distributions share some latent structure, so it is advantageous to jointly a…
Consistency of the MLE under a two-parameter gamma mixture model with a structural shape parameter
Mingxing He, Jiahua Chen
The finite Gamma mixture model is often used to describe randomness in income data, insurance data, and data from other applications. The popular likelihood approach, however, does…
Distributed Learning of Finite Gaussian Mixtures
Qiong Zhang, Jiahua Chen
Advances in information technology have led to extremely large datasets that are often kept in different storage centers. Existing statistical methods must be adapted to overcome t…