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    Article

    Rank-based instrumental variable estimation for semiparametric varying coefficient spatial autoregressive models

    In this paper, it is aim to propose an instrumental variable rank estimation method for varying coefficient spatial autoregressive models. The newly proposed method provides a highly efficient and robust alter...

    Yangbing Tang, Zhongzhan Zhang, Jiang Du in Statistical Papers (2024)

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    Article

    Statistical inference for the functional quadratic quantile regression model

    In this paper, we develop statistical inference procedures for functional quadratic quantile regression model in which the response is a scalar and the predictor is a random function defined on a compact set of R

    Gongming Shi, Tianfa **e, Zhongzhan Zhang in Metrika (2020)

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    Article

    Single-index partially functional linear regression model

    In this paper, we propose a flexible single-index partially functional linear regression model, which combines single-index model with functional linear regression model. All the unknown functions are estimate...

    ** Yu, Jiang Du, Zhongzhan Zhang in Statistical Papers (2020)

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    Article

    Composite quantile estimation in partial functional linear regression model with dependent errors

    In this paper, we consider composite quantile estimation for the partial functional linear regression model with errors from a short-range dependent and strictly stationary linear processes. The functional pri...

    ** Yu, Ting Li, Zhongyi Zhu, Zhongzhan Zhang in Metrika (2019)

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    Article

    Robust exponential squared loss-based estimation in semi-functional linear regression models

    In this paper, we present a new robust estimation procedure for semi-functional linear regression models by using exponential squared loss. The outstanding advantage of the proposed method is the resulting est...

    ** Yu, Zhongyi Zhu, Zhongzhan Zhang in Computational Statistics (2019)

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    Article

    Focused information criterion and model averaging in censored quantile regression

    In this paper, we study model selection and model averaging for quantile regression with randomly right censored response. We consider a semi-parametric censored quantile regression model without distribution ...

    Jiang Du, Zhongzhan Zhang, Tianfa **e in Metrika (2017)

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    Article

    A test of linearity in partial functional linear regression

    This paper investigates the hypothesis test of the parametric component in partial functional linear regression. We propose a test procedure based on the residual sums of squares under the null and alternative...

    ** Yu, Zhongzhan Zhang, Jiang Du in Metrika (2016)

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    Article

    Asymptotic infimum coverage probability for interval estimation of proportions

    In this paper, we discuss asymptotic infimum coverage probability (ICP) of eight widely used confidence intervals for proportions, including the Agresti–Coull (A–C) interval (Am Stat 52:119–126, 1998) and the Clo...

    Weizhen Wang, Zhongzhan Zhang in Metrika (2014)

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    Article

    Variable selection in high-dimensional double generalized linear models

    In this paper we are concerned with the problems of variable selection and estimation in double generalized linear models in which both the mean and the dispersion are allowed to depend on explanatory variable...

    Dengke Xu, Zhongzhan Zhang, Liucang Wu in Statistical Papers (2014)