| Academic Programs |
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Scientific research |
1. Lin, B., Pang, Z., Zhang, J., Chen, C., Fast feature selection via streamwise procedure for massive data. Brazilian Journal of Probability and Statistics, 36(1): 81-102, 2022.
2. Zhang, J., Lin, B.*, Estimation of correlation coefficient with general distortion measurement errors. Communications in Statistics - Simulation and Computation, 1-31, 2021.
3. Lin, B. and Pang, Z., Stability of methods for differential expression analysis of RNA-seq data. BMC genomics, 20:35 2019.
4. Zhang, J., Lin, B.* and Li, G., Nonlinear regression models with general distortion measurement errors. Journal of Statistical Computation and Simulation 89 (8), 1482-1504, 2019.
5. Zhang, J., Gai, Y., Lin, B.* and Zhu, X., Nonlinear regression models with single-index heteroscedasticity. Statistica Neerlandica, 73(2), 292-316, 2019. 6. Lin, B., Pang, Z. and Wang, Q., Cluster feature selection in high dimensional linear models. Random Matrices: Theory and Applications,
6: (1750015-1)-(1750015-23), 2018.
7. Zhang, J., Zhou, Y., Lin, B.* and Yu, Y., Estimation and hypothesis test on partial linear models with additive distortion measurement errors. Computational Statistics and Data Analysis. 112:114-128, 2017.
8. Zhang, J., Chen, Q., Lin, B. * and Zhou, Y., On the single-index model estimate of the conditional density function: consistency and implementation. Journal of Statistical Planning and Inference, 187:56-66, 2017.
9. Lin, B., Wang, Q., Zhang, J. and Pang, Z., Stable prediction in high-dimensional linear models. Statistics and Computing, 27:1401-1412, 2017.
10. Pang, Z., Lin, B. and Jiang J., Regularization parameter selection via bootstrapping. Australian & New Zealand Journal of Statistics, 58:335-356, 2016. |
