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  1. No Access

    Article

    Asymptotic properties for LS estimators in EV regression model with dependent errors

    In this paper, we establish the strong consistency and asymptotic normality for the least square (LS) estimators in simple linear errors-in-variables (EV) regression models when the errors form a stationary α-mix...

    Guo-Liang Fan, Han-Ying Liang, Jiang-Feng Wang… in AStA Advances in Statistical Analysis (2010)

  2. No Access

    Chapter and Conference Paper

    IMSmining: A Tool for Imaging Mass Spectrometry Data Biomarker Selection and Classification

    We developed IMSmining, a free software tool combining functions of intuitive visualization of imaging mass spectrometry (IMS) data with advanced analysis algorithms in a single package which is easy to operat...

    **gsai Liang, Don Hong, Fengqing (Zoe) Zhang, Jiancheng Zou in Mathematics and Computing (2015)

  3. No Access

    Article

    Empirical likelihood for semivarying coefficient model with measurement error in the nonparametric part

    A semivarying coefficient model with measurement error in the nonparametric part was proposed by Feng and Xue (Ann Inst Stat Math 66:121–140, 2014), but its inferences have not been systematically studied. This p...

    Guo-Liang Fan, Hong-**a Xu, Zhen-Sheng Huang in AStA Advances in Statistical Analysis (2016)

  4. No Access

    Article

    Hypothesis test on response mean with inequality constraints under data missing when covariables are present

    This paper addresses the problem of hypothesis test on response mean with various inequality constraints in the presence of covariates when response data are missing at random. The various hypotheses include t...

    Hong-**a Xu, Guo-Liang Fan, Han-Ying Liang in Statistical Papers (2017)

  5. No Access

    Article

    Weighted quantile regression and testing for varying-coefficient models with randomly truncated data

    This paper develops a varying-coefficient approach to the estimation and testing of regression quantiles under randomly truncated data. In order to handle the truncated data, the random weights are introduced ...

    Hong-**a Xu, Guo-Liang Fan, Zhen-Long Chen… in AStA Advances in Statistical Analysis (2018)

  6. No Access

    Article

    Quantile regression and variable selection for partially linear model with randomly truncated data

    This paper focuses on the problem of estimation and variable selection for quantile regression (QR) of partially linear model (PLM) where the response is subject to random left truncation. We propose a three-s...

    Hong-**a Xu, Zhen-Long Chen, Jiang-Feng Wang, Guo-Liang Fan in Statistical Papers (2019)

  7. No Access

    Article

    Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects

    For the partially linear errors-in-variables panel data models with fixed effects, we, in this paper, study asymptotic distributions of a corrected empirical log-likelihood ratio and maximum empirical likeliho...

    Bang-Qiang He, **ng-Jian Hong, Guo-Liang Fan in Statistical Papers (2020)

  8. No Access

    Living Reference Work Entry In depth

    Privacy Preservation in Big Data Analytics

    Yu-Chuan Tsai, Shyue-Liang Wang… in Encyclopedia of Complexity and Systems Sci…

  9. No Access

    Article

    Enhancing accuracy of extreme learning machine in predicting river flow using improved reptile search algorithm

    This study searches the feasibility of a new hybrid extreme leaning machine tuned with improved reptile search algorithm (ELM-IRSA), in river flow modeling. The outcomes of the new method were compared with si...

    Rana Muhammad Adnan, Reham R. Mostafa… in Stochastic Environmental Research and Risk… (2023)

  10. No Access

    Article

    Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data

    This paper is concerned with quantile regression (QR) inference of varying-coefficient partially nonlinear models where the response is subject to randomly left truncation. A three-stage estimation procedure f...

    Hong-**a Xu, Guo-Liang Fan, Han-Ying Liang in Statistical Papers (2024)