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stat.ME2018★ 1 cited
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…
stat.ME2018★ 4 cited
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…