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主讲人介绍

Dr. Cindy Yu (于珑) is a Professor in the Department of Statistics at Iowa State University. She earned her Ph.D. in Statistics from Cornell University in 2005 and has been at Iowa State University since then. Her research focuses on financial statistics, missing data analysis, survey statistics, and causal inference. Dr. Yu has published in journals, including the Journal of the American Statistical Association, Review of Financial Studies, Management Science, Mathematical Finance, Bernoulli, Survey Methodology, Statistica Sinica and the American Journal of Agricultural Economics, among others.

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讲座简介

This series of lectures will introduce causal inference through the lens of the potential outcome framework, emphasizing its fundamental connection to missing data analysis. We will explore the identification and estimation of causal effects using semiparametric theory. Building on this foundation, the lecture will extend to advanced topics, including the estimation of optimal dynamic treatment regimes. Throughout, we will focus on both theoretical insights and practical implications in modern data analysis.

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讲座信息