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Article
Semiparametric mixtures of nonparametric regressions
In this article, we propose and study a new class of semiparametric mixture of regression models, where the mixing proportions and variances are constants, but the component regression functions are smooth fun...
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Article
Semiparametric mixtures of regressions with single-index for model based clustering
In this article, we propose two classes of semiparametric mixture regression models with single-index for model based clustering. Unlike many semiparametric/nonparametric mixture regression models that can onl...
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Article
Modal regression for fixed effects panel data
Most research on panel data focuses on mean or quantile regression, while there is not much research about regression methods based on the mode. In this paper, we propose a new model named fixed effects modal reg...
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Article
Semiparametric mixture regression with unspecified error distributions
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 estimators (MLE). This proced...
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Editorial for ADAC issue 1 of volume 16 (2022)
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Special issue on “Models and learning for clustering and Classification”