Jeffrey Scott McCullough: Empirical Bayesian Applications
报告时间：2025年7月14日（星期一）19:00-21:30
报告地点：科教楼B座1105
报告人：Jeffrey Scott McCullough 教授
工作单位：University of Michigan
举办单位：经济学院
报告简介：
This part of the lecture presents real-world applications of empirical Bayesian methods across a range of fields. In finance, empirical Bayes is used for risk modeling and credit assessment. In biostatistics, it supports clinical trial analysis and disease prediction. In the social sciences, it is applied to causal inference and data integration.
These case studies highlight the flexibility and practical value of empirical Bayesian approaches in solving domain-specific problems.
The lecture also addresses ongoing challenges, such as prior specification in data-scarce environments and computational scalability. Finally, future directions are discussed, including integration with machine learning and big data analytics.
本讲座的第二部分重点展示了经验贝叶斯方法在各类实际问题中的广泛应用。在金融领域，经验贝叶斯被用于风险建模与信用评估；在生物统计学中，应用于临床试验分析与疾病预测；在社会科学中，用于因果推断和多源数据整合。
这些案例生动地展示了经验贝叶斯方法在处理领域问题中的灵活性与实用价值。
此外，讲座还讨论了目前面临的一些挑战，例如：如何在数据稀缺的环境中指定先验分布，以及应对计算可扩展性问题。最后，展望了未来发展方向，包括与机器学习和大数据分析的融合前景。
报告人简介：
Jeffrey S. McCullough is a Professor of Health Economics at the University of Michigan School of Public Health. His research explores the role of technology and innovation in healthcare, with a particular focus on the economics of information technology, pharmaceuticals, and empirical methods. He has conducted extensive studies on the impact of electronic health record (EHR) systems on healthcare quality and productivity. His current work examines the evolving roles of telemedicine and artificial intelligence in healthcare delivery.
Professor McCullough is a faculty affiliate of the Michigan Institute for Data Science and the Institute for Health Policy and Innovation. He is also a research fellow at the Center for Economic Studies in Munich, Germany. Prior to joining the University of Michigan, he served as an Associate Professor of Health Economics at the University of Minnesota. He earned his undergraduate degree in biochemistry from Harvard College and his Ph.D. in Health Economics from the University of Pennsylvania.
Jeffrey S. McCullough是密歇根大学公共卫生学院的卫生经济学教授。他的研究聚焦于技术与创新在医疗保健中的作用，特别关注信息技术、医药经济学以及实证方法在医疗领域的应用。他曾深入研究电子健康记录系统（EHR）对医疗质量与生产效率的影响。目前，他的研究方向包括远程医疗与人工智能在医疗服务中的不断演变和应用。
Jeffrey S. McCullough教授是密歇根大学数据科学研究院（Michigan Institute for Data Science）和健康政策与创新研究所（Institute for Health Policy and Innovation）的研究成员，同时也是德国慕尼黑经济研究中心（Center for Economic Studies）的研究员。在加入密歇根大学之前，他曾任明尼苏达大学的卫生经济学副教授。他本科毕业于哈佛大学，主修生物化学，并在宾夕法尼亚大学获得卫生经济学博士学位。
