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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...

    Sijia **ang, Weixin Yao in Annals of the Institute of Statistical Mathematics (2018)

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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...

    Sijia **ang, Weixin Yao in Advances in Data Analysis and Classification (2020)

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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...

    Aman Ullah, Tao Wang, Weixin Yao in Empirical Economics (2021)

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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...

    Yanyuan Ma, Shaoli Wang, Lin Xu, Weixin Yao in TEST (2021)

  5. Article

    Editorial for ADAC issue 1 of volume 16 (2022)

    Salvatore Ingrassia, Julien Jacques in Advances in Data Analysis and Classificati… (2022)

  6. Article

    Special issue on “Models and learning for clustering and Classification”

    Salvatore Ingrassia, Julien Jacques in Advances in Data Analysis and Classificati… (2022)