6 citations · 12 across the 5 of their papers we have counts for
5 papers
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…
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 Mixtures of Regressions with Single-index for Model Based Clustering
Sijia Xiang, Weixin Yao
In this article, we propose two classes of semiparametric mixture regression models with single-index for model based clustering. Unlike many semiparametric/nonparametric mixture r…
Mixture of Regression Models with Single-Index
Sijia Xiang, Weixin Yao
In this article, we propose a class of semiparametric mixture regression models with single-index. We argue that many recently proposed semiparametric/nonparametric mixture regress…
Nonparametric and Varying Coefficient Modal Regression
Weixin Yao, Sijia Xiang
In this article, we propose a new nonparametric data analysis tool, which we call nonparametric modal regression, to investigate the relationship among interested variables based o…