姓名： 韩子非

电子邮件：zifeihan@uibe.edu.cn

教育背景：

2012-2017年 The University of Texas at San Antonio 统计学博士

2008-2012年 上海财经大学 理学学士

工作经历：

2023年1月至今 英国上市365 英国上市365 副教授

2019年10月至2022年12月 英国上市365 英国上市365 讲师

2017年 5月 至 2019年 10月 Vertex Pharmaceuticals, Boston, MA, 高级统计师

2016年12月 至 2017年5月 GSK, Collegeville, PA, 统计与数据科学实习

研领域：

计方法：贝叶斯方法、先验与设计，空间统计，统计计算，MCMC，因果推断

统计应用：机器学习/深度学习/AI，量化交易与策略开发，生物统计

教授课程：

本科：统计模拟与计算、统计软件、线性代数

硕博：深度学习AI，机器学习与数据挖掘，贝叶斯统计专题

主要论文成果：

[1] Han, Z. and De Oliveira, V. (2025) Default priors for the smoothness parameter in Gaussian Matern random fields, Bayesian Analysis, accepted.

[2] Tao, B., Han, Z., Shi, W., Wang, M. and Ouyang (2025) Bayesian variable selection in Kriging metamodeling for quality design, European Journal of Operational Research, conditionally accepted.

[3] Han, Z., Zhang, Q., Tiwari, R. and Bai, T. (2025) Bayesian Borrowing with Multiple Heterogeneous Historical Studies using Order Restricted Normalized Power Prior, Statistics in Medicine, 44, e10302.

[4] Chen, H., Han, Z. and Zhu, F. (2025) A Trinomial Difference Autoregressive Process for the Bounded Z-valued Time Series with Heteroscedasticity, Journal of Time Series Analysis, 46, 152-180.

[5] Yan, L., Tao B., Han, Z. and Ouyang, L. (2025) Online reviews analysis in product defects and customer requirements via two-stage model, Total Quality Management & Business Excellence 36, 788-810.

[6] Luo et al. (2025) Real time intravascular ultrasound evaluation and stent selection for cerebral venous sinus stenosis associated with idiopathic intracranial hypertension, Scientific Reports, 15, 16381

[7] Ma, Z., Han, Z., Ghosh, S., Wu, L. and Wang, M. (2024) Sparse Bayesian variable selection in high dimensional logistic regression models with correlated priors, Statistical Analysis and Data Mining, 17, e11663.

[8] Ma, Z., Han, Z. and Wang, M. (2024) Bayesian variable selection and estimation in binary quantile regression using global-local shrinkage priors. Communications in Statistics-Simulation and Computation, to appear.

[9] Zhang, S., Dao, M., Ye, K., Han, Z. and Wang, M. (2024) A novel Bayesian computational approach for bridge-randomized quantile regression in high dimensional models, Journal of Statistical Computation and Simulation, 94. 2932-2951.

[10] Wang, M., Ye, K. and Han, Z. (2024) Bayesian analysis of testing general hypotheses in linear models with spherically symmetric errors, TEST, 33, 251–270.

[11] Han, Z., Ye, K. and Wang, M. (2023) A study on the power parameter in power prior Bayesian analysis, American Statistician, 77, 12-19.

[12] De Oliveira, V. and Han, Z. (2023) Approximate reference priors for Gaussian random fields, Scandinavian Journal of Statistics, 50, 296-326.

[13] Han, Z., Zhang, Q., Wang, M., Ye, K. and Chen, M-H. (2023) On Efficient Posterior Inference in Normalized Power Prior Bayesian Analysis, Biometrical Journal, 2200194.

[14] De Oliveira, V. and Han, Z. (2022) On Information About Covariance Parameters in Gaussian Matern Random Fields, Journal of Agricultural Biological and Environmental Statistics, 27, 690–712.

[15] Liu, X., Kim, C., Han, Z., Lim, P., Roychoudhury, Fava and Doros, G. (2022) On treatment effect for the sequential parallel comparison design, Statistics in Medicine, 41, 2166-2190.

[16] Ye, K., Han, Z., Duan, Y. and Bai, T. (2022) Normalized power prior Bayesian analysis, Journal of Statistical Planning and Inference, 216, 29-50.

[17] Chilvers, Davis, Milla, Tian, Han, Cornell, Owen and Ratjen (2021) Long-term safety and efficacy of lumacaftor–ivacaftor therapy in children aged 6–11 years with cystic fibrosis homozygous for the F508del-CFTR mutation: a phase 3, open-label, extension study, The Lancet Respiratory Medicine, 9, 721-732.

[18] Han, Z. and De Oliveira, V. (2020) Maximum Likelihood Estimation of Gaussian Copula Models for Geostatistical Count Data, Communications in Statistics – Simulation and Computation, 49, 1957-1981.

[19] Han, Z. and De Oliveira, V. (2018) gcKrig: an R package for analysis of geostatistical count data using Gaussian copula, Journal of Statistical Software, 87(13), 1-32.

[20] Han, Z. and De Oliveira, V. (2016) On the Correlation Structure of Gaussian Copula Models for Geostatistical Count Data, Australian and New Zealand Journal of Statistics, 58, 47-69.

主持/参与基金项目

主持国自科青年项目：大型空间点数据的贝叶斯先验与近似推断（2023-2025）

参与国自科面上项目：右删失下高维生存数据的统计推断及其在组学数据 上的应（2024-2026）

参与国自科面上项目：全直径岩心三维电阻率层析成像关键技术与实验验证（2023-2025）

参与校级创新团队项目两项

审稿服务：Ad-hoc reviewer for Journal of the American Statistical Association, Bayesian Analysis, Statistica Sinica, Statistics in Medicine (2), Statistics and Computing, Statistical Methods in Medical Research (6), Spatial Statistics, Computers and Industrial Engineering, Lifetime data analysis, Journal of Biopharmaceutical Statistics (3), Journal of Applied Statistics(2), Environmetrics, etc..