Advancing sports analytics using statistics and large language models

：沈伟凝（美国加州大学尔湾分校）
：2024-06-28 09:30
：海韵园教学楼201

报告人：沈伟凝（美国加州大学尔湾分校）

时  间：2024年6月28日9:30

地  点：海韵园教学楼201

内容摘要:

Quantitative analysis in sports analytics has received a great deal of attention in recent years. In this talk, I will discuss two recent projects. The first project is about quantifying the casual effect of home field advantage in English Premier League Football games. The second project is a recent effort to build a benchmark dataset for sports understanding using large language models. For both projects, I will discuss methodology, computation, and future working directions.

个人简介：

Weining Shen is Associate Professor of Statistics at University of California, Irvine. He received his PhD from North Carolina State University in 2013, and he was a postdoc at the University of Texas M.D. Anderson Cancer Center between 2013 and 2015. He is an associate editor for a few statistical journals including JASA and Statistica Sinica. Prof. Shen’s research interest includes Bayesian methods, machine learning, high-dimensional models, and applications in neuroscience, biology, sports analytics, and education assessment.

 

联系人：周达