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  1. No Access

    Article

    An empirical analysis of agricultural and rural carbon emissions under the background of rural revitalization strategy–based on machine learning algorithm

    Agricultural and rural carbon (ARC) emissions are a major source of greenhouse gas emissions in China and have profound implications for implementing the rural revitalization strategy. This study takes Shandon...

    **aoYu Niu, YuZhu Tian, ManLai Tang, ZhiBao Mian in Air Quality, Atmosphere & Health (2024)

  2. No Access

    Article

    A class of three-term derivative-free methods for large-scale nonlinear monotone system of equations and applications to image restoration problems

    In this paper, we develop a class of derivative-free methods for large-scale nonlinear monotone system of equations. They combine the hybrid three-term conjugate gradient method, which are designed for unconst...

    **aoliang Wang, Yuzhu Tian, Li** Pang in Journal of Applied Mathematics and Computing (2023)

  3. No Access

    Article

    Additive functional regression in reproducing kernel Hilbert spaces under smoothness condition

    Additive functional model is one popular semiparametric approach for regression with a functional predictor. Optimal prediction error rate has been demonstrated in the framework of reproducing kernel Hilbert s...

    Yuzhu Tian, Hongmei Lin, Heng Lian, Zengyan Fan in Metrika (2021)

  4. No Access

    Article

    Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data

    In this paper, we developed a sparse Bayesian variable selection in kernel probit model for high-dimensional data classification. Particularly we assigned a correlation prior distribution on the model size and...

    Aijun Yang, Yuzhu Tian, Yunxian Li, **guan Lin in Computational Statistics (2020)

  5. 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)

  6. No Access

    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)

  7. No Access

    Article

    Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates

    In this paper, we discuss Bayesian joint quantile regression of mixed effects models with censored responses and errors in covariates simultaneously using Markov Chain Monte Carlo method. Under the assumption ...

    Yuzhu Tian, Er’qian Li, Maozai Tian in Computational Statistics (2016)