Lin Bingqing
  • Educational level:Ph.D. and above

  • Professional titles: Associate Professor

  • Telephone:86534154

  • Email:bglin@szu.edu.cn

  • Address:Room 1416,Huixing Building

Educational level Professional titles Associate Professor
Professional titles 86534154 Email bglin@szu.edu.cn
Address Room 1416,Huixing Building Personal Profile
Educational experience Work experience
Research Field Biostatistics, model selection Honors obtained
Academic Programs 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.

Personal Profile

著有《深度学习入门与TensorFlow实践》,发表SCI论文30余篇,主持并参与多项国家自然科学基金

Educational experience

Work experience

Research Field

  • Biostatistics, model selection

Honors obtained

Academic Programs

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.
Baidu
sogou