个人简历

桂开，男，1977年生，博士，教授，硕士生导师

研究领域

参数估计与最优预测、非参数（半参数）模型统计推断和应用统计

近期论文

[1]Guikai Hu, Qingguo Li, Shenghua Yu. Linear minimax prediction of finite population regression coefficient under a balanced loss function. Communications in Statistics-Theory and Methods, 2016，45(24): 7197-7209.(SCI)
[2]Ping Peng, Guikai Hu. The admissible minimax estimator in Gauss-Markov model under a balanced loss function. Statistics, 2016, 50（2）：271-277. (SCI)
[3]Ping Peng, Guikai Hu, Muhua Ding. Comparisons of estimators for regression coefficient in a misspecified linear model with elliptically contoured errors. Journal of the Korean Statistical Society,2016，45:477-489. (SCI)
[4]Ping Peng, Guikai Hu, Jian Liang. All admissible linear predictors in the finite populations with respect to inequality constraints under a balanced loss function. Journal of multivariate analysis, 2015, 140: 113-122. (SCI)
[5]Guikai Hu, Shenghua Yu, Han Luo. Comparisons of variance estimators in a misspecified linear model with elliptically contoured errors. Journal of multivariate analysis, 2015, 133: 266-276. (SCI)
[6]Guikai Hu, Qingguo Li, Shenghua Yu. Optimal and minimax prediction in multivariate normal populations under a balanced loss function. Journal of multivariate analysis, 2014, 128, 154-164. (SCI)
[7]Guikai Hu, Qingguo Li, Shenghua Yu. Risk comparison of improved estimators in a linear regression model with multivariate t errors under balanced loss function. Journal of applied mathematics, 2014, Article ID 129205. (SCI)
[8]Guikai Hu, Ping Peng. Matrix linear minimax estimators in a general multivariate linear model under a balanced loss function. Journal of multivariate analysis, 2012，111：286-295.(SCI)
[9]Guikai Hu, Qingguo Li, Ping Peng. Minimax estimator of regression coefficient in normal distribution under balanced loss function. Linear algebra and its applications, 2012，436：1228-1237. (SCI)
[10]Guikai Hu, Ping Peng. All admissible linear estimators of a regression coefficient under a balanced loss function, Journal of multivariate analysis, 2011，102：1217-1224. (SCI)
[11]Guikai Hu, Ping Peng. Admissibility for linear estimators of regression coefficient in a general Gauss-Markoff model under balanced loss function. Journal of statistical planning and inference, 2010, 140: 3365-3375. (SSCI, SCI)
[12]Hu Guikai, Peng Ping. Optimal estimator of regression coefficient in a general Gauss-Markov model under a balanced loss function. 应用概率统计，2015,31(2):
113-124.
[13]Hu Guikai, Peng Ping. Linear admissible prediction of finite population regression coefficient under a balanced loss function. 数学杂志，2014, 34(5): 820-828.