4 citations · 4 across the 4 of their papers we have counts for
8 papers
Method of Moments Confidence Intervals for a Semi-Supervised Two-Component Mixture Model
Bradley Lubich, Daniel Jeske, Weixin Yao
A mixture of a distribution of responses from untreated patients and a shift of that distribution is a useful model for the responses from a group of treated patients. The mixture…
Pursuing Sources of Heterogeneity in Modeling Clustered Population
Yan Li, Chun Yu, Yize Zhao +3
Researchers often have to deal with heterogeneous population with mixed regression relationships, increasingly so in the era of data explosion. In such problems, when there are man…
Robust Model Selection for Finite Mixture of Regression Models Through Trimming
Sijia Xiang, Weixin Yao
In this article, we introduce a new variable selection technique through trimming for finite mixture of regression models. Compared to the traditional variable selection techniques…
Maximum Likelihood Estimation of a Semiparametric Two-component Mixture Model using Log-concave Approximation
Yangmei Zhou, Weixin Yao
Motivated by studies in biological sciences to detect differentially expressed genes, a semiparametric two-component mixture model with one known component is being studied in this…
An Overview of Semiparametric Extensions of Finite Mixture Models
Sijia Xiang, Weixin Yao, Guangren Yang
Finite mixture models have been a very important tool for exploring complex data structures in many scientific areas, for example, economics, epidemiology, finance. In the past dec…
Semiparametric Mixture Regression with Unspecified Error Distributions
Yanyuan Ma, Shaoli Wang, Lin Xu +1
In fitting a mixture of linear regression models, normal assumption is traditionally used to model the error and then regression parameters are estimated by the maximum likelihood…