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2013年研究成果

1. Huazhen Lin and Jianxin Pan (2013). Nonparametric estimation of mean and covariance structures for longitudinal data. Canadian Journal of Statistics, 41,557-574.

2.罗荣华,林华珍,翟立宏(2013).银行理财产品收益率曲线的构建与分析—基于随机效应半参数模型的方法,《金融研究》,7:107-120.

3. Huazhen Lin, Yi Li and Ming T. Tan (2013). Estimating a unitary effect summary based on combined survival and quantitative outcomes. Computational Statistics and Data Analysis, 66, 129-139.

4. Huazhen Lin and Heng Peng (2013). Smoothed rank correlation of the linear transformation regression model. Computational Statistics and Data Analysis, 57, 615-630.

5. Shao-Gao Lv, Tie-Feng Ma, Liu Liu and Yun Long Feng. (2013) . Fast learning rates for sparse quantile regression problem. Neurocomputing, 108, 13-22 (SCI)

6. Shao-Gao Lv and Yun-Long Feng. (2013). Consistency of coefficient-based spectral clustering with l^1-regularizer. Mathematics and Computer Modeling. 57, 469--482 (SCI)

7. Shao-Gao Lv, Dai-Min Shi, Quan Wu Xiao and Ming Shan Zhang. Sharp learning rates of coefficient-based l^p-regularized regression with indefinite kernels. Science China Mathematics, 56(8), 1557-1574 (SCI).

8. Tiefeng Ma, Shuangzhe Liu, Estimation of order-restricted means of two normal populations under the LINEX loss function. Metrika, 2013, 76, 409-425.

9. Si, Y., Liu, P., (2013) An Optimal Test with Maximum Average Power While Controlling FDR with Application to RNA-seq Data, Biometrics, 69: 594–605

10、Peter, X-K.Song, Freeland, R.K., Biswas, A., Shulin Zhang, 2013. Statistical analysis of discrete-valued time series using categorical ARMA models, Computational Statistics and Data Analysis, 57(1), 112-124.

11、Zhang shulin, Wei Zhenghong, Bi qiuxiang, 2013. A Specification Test of Stochastic Diffusion Models, Acta Mathematicae Applicatae Sinica, English Series,29(3): 529-540

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