嘉宾简介  Introduction

Dr. Zhi Geng has been working at Department of Probability and Statistics, Peking University since he received his PhD degree from Kyushu University, Japan, in 1989. His research interests include causal inference, causal networks and incomplete data analysis, and his research works are published on journals of statistics, machine learning and artificial intelligence. He served as President of Chinese Association of Applied Statistics, President of Chinese Society of Probability and Statistics, President of IMS-China and Vice-President of National Statistical Society of China, and now he serves as President of Beijing Biometrics Association (BBA).

报告简介  Course Content

This talk will discuss the relationship among causal effects between variable pairs on a causal path, including total causal effect, direct causal effect, indirect causal effect and surrogate endpoints. The assumptions and conditions for identifiability of these causal effects are shown. Further a data-driven approach for evaluating causal effects which combines causality discovery and effect evaluation will be presented.

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