师资队伍

  • 王寅智
  • 讲师
  • 办公电话:
  • Office:
  • 电子邮箱:wangyz@suibe.edu.cn

王寅智，1998年生人，2025年6月毕业于对外经济贸易大学统计学院，获理学博士学位，2025年6月入职上海对外经贸大学金融管理学院。研究领域为金融时间序列分析、因子分析。研究成果发表于Journal of Business & Economic Statistics、Journal of Statistical Planning and Inference、Annals of Operations Research、《系统工程理论与实践》等中英文期刊。

[1] Qin, L., Wang, Y.*, Zhu, Y., & Shia, B. C. (2025). Bayesian Dynamic Matrix Factor Models. Journal of Business & Economic Statistics, 1-24.

[2] Wang, Y., Zhu, Y., Sun, Q., and Qin, L. (2024). Adaptively robust high-dimensional matrix factor analysis under Huber loss function. Journal of Statistical Planning and Inference, 231, 106137. 

[3] Zhu, Y., Wang, Y., Qin, L., Zhang, B., Shia, B. C., and Chen, M. (2023). Naïve Bayes classifier based on reliability measurement for datasets with noisy labels. Annals of Operations Research, 1-28. 

[4] Xia, C., Qin, L., Wang, Y., Yao, L., Shia, B., and Wu, S. Y. (2022). Risk factors and specific cancer types of second primary malignancies in patients with breast cancer receiving adjuvant radiotherapy: a case-control cohort study based on the SEER database. American Journal of Cancer Research, 12(6), 2744.

[5] Chen Y., Zhang X., Lu L., Wang Y., Liu J., Qin L., Ye L., Zhu J., Shia B-C., Chen M-C. (2022). Machine learning methods to identify predictors of psychological distress. Processes, 10(5), 1030.

[6] 秦磊,王寅智,朱映秋,谢邦昌. (2024). 已知组结构下混频时间序列的潜在因子分析. 系统工程理论与实践, 1-26.