Biao Cai

Biography

I am a Postdoctoral Associate in the Department of Biostatistics at the Yale University, where I am very fortunate to be advised by Prof. Hongyu Zhao.

Previously, I completed my Ph.D. in the Department of Management Science at the University of Miami, under the supervision of Prof. Emma Jingfei Zhang. Prior to coming to Miami, I received my B.S. in Statistics from the University of Science and Technology of China (USTC) in 2016. (Google Scholar)

Publications

Jingfei Zhang*, Biao Cai*, Xuening Zhu, Hansheng Wang, Ganggang Xu and Yongtao Guan

Journal of Business and Economic Statistics, 2022. (* Co-first author.)


Biao Cai, Jingfei Zhang and Yongtao Guan

Journal of the American Statistical Association, forthcoming.


Biao Cai , Jingfei Zhang, and Will Wei Sun.


Biao Cai, Jingfei Zhang, Hongyu Li, Chang Su and Hongyu Zhao.

Teaching

Teaching Assistant Miami Herbert Business School

  • MAS311 - Applied Probability and Statistics (2017,2019)

  • MAS312 - Statistical Methods and Quality Control (2021)

  • MAS631 - Statistics for Managerial Decision Making (2018,2019,2020)

  • MAS637 - Applied Regression Analysis and Forecasting (2018)

  • MAS637 - Applied Regression Analysis I (2019,2020)

  • MAS640 - Applied Time Series Analysis and Forecasting (2017,2019,2020,2021)

  • Probability and Mathematical Statistics (2015)

  • Statistical Software (2016)

Presentations

  • Presentation on “Learning Latent Network Structure from High-Dimensional Multivariate Point Processes,” Joint Statistical Meetings, Denver, CO, 2019.

  • Presentation on “Tensor Mixture Model in High-Dimensions,” Joint Statistical Meetings, Philadelphia, PA, 2020 (virtual).

  • Poster presentation on “Latent Network Structure Learning from High-Dimensional Multivariate Point Processes,” ICSA 2020 Applied Statistics Symposium, Houston, TX, 2020 (virtual).

  • Presentation on “Latent Network Structure Learning from High-Dimensional Multivariate Point Processes,” Southern University of Science and Technology, Shenzhen, 2021 (virtual).

  • Presentation on “Latent Network Structure Learning from High-Dimensional Multivariate Point Processes,” Mississippi State University, MS, 2021 (virtual).

  • Presentation on “Learning Human Activity Patterns using Clustered Point Processes with Active and Inactive States,” Peking University, 2022, ("狗熊会" Talk Video).

  • Presentation on “Jointly Modeling and Clustering Tensors in High Dimensions,” Joint Statistical Meetings, Washington, DC, 2022.

Contact