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  1. No Access

    Article

    Quantile regression for linear models with autoregressive errors using EM algorithm

    In this paper, we consider the quantile linear regression models with autoregressive errors. By incorporating the expectation–maximization algorithm into the considered model, the iterative weighted least squa...

    Yuzhu Tian, Manlai Tang, Yanchao Zang, Maozai Tian in Computational Statistics (2018)

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    Article

    Joint modeling for mixed-effects quantile regression of longitudinal data with detection limits and covariates measured with error, with application to AIDS studies

    It is very common in AIDS studies that response variable (e.g., HIV viral load) may be subject to censoring due to detection limits while covariates (e.g., CD4 cell count) may be measured with error. Failure t...

    Yuzhu Tian, Manlai Tang, Maozai Tian in Computational Statistics (2018)