The large sample properties of the solutions of general estimating equations. - Huixiu Zhao; Jinguan Lin (J. Syst. Sci. Complex., 2012)

An approximately optimal non-parametric procedure for analyzing exchangeable binary data with random cluster sizes. - Huixiu Zhao; Jinguan Lin (Comput. Stat., 2013)

Some New Results on Weighted Geometric mean for copulas. - Kongsheng Zhang; Jinguan Lin; Chao Huang 005 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2013)

Bayesian variable selection in multinomial probit model for classifying high-dimensional data. - Aijun Yang; Yunxian Li; Niansheng Tang; Jinguan Lin (Comput. Stat., 2015)

Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis. - Aijun Yang; Xuejun Jiang; Lianjie Shu; Jinguan Lin (Comput. Stat., 2017)

Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data. - Aijun Yang; Yuzhu Tian; Yunxian Li; Jinguan Lin (Comput. Stat., 2020)

Performance of Preliminary Test Estimators for Error Variance Based on W, LR and LM Tests. - Guikai Hu; Jinguan Lin (J. Syst. Sci. Complex., 2020)

Panel semiparametric quantile regression neural network for electricity consumption forecasting. - Xingcai Zhou; Jiangyan Wang; Hongxia Wang; Jinguan Lin (Ecol. Informatics, 2022)

Incorporating Variation and Quality of the Underlying Effects in Meta-Analysis. - Jinyu Fu; Jinguan Lin (J. Syst. Sci. Complex., 2022)