报告题目:A crash course on causal inference
报 告人:赵卿元助理教授(剑桥大学)
报告时间:2022年9月15日(星期四)16:00-17:30
报告地点:腾讯会议,会议ID:555-758-6901
邀 请人:何志坚教授
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数学学院
2022年9月13日
报告摘要:This lecture will give a brief introduction to causal inference, an interdisciplinary area that seeks to obtain knowledge about causality from empirical (often observational) data. We will review the counterfactual (also called potential-outcomes) and graphical approaches to theorize causality and points to connections to artificial intelligence and medicine.
报告人简介:Dr. Qingyuan Zhao is currently an Assistant Professor in the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics at University of Cambridge, a Fellow of the Corpus Christi College, and a Fellow of the Alan Turing Institute. His research interests include causal inference, novel study designs, sensitivity analysis, multiple testing, and selective inference. More details: http://www.statslab.cam.ac.uk/~qz280/