主讲人 Speaker:Peng Ding (University of California, Berkeley)
时间 Time:Mon.& Wed., 19:20–20:55, June 5-July 31, 2023
地点 Venue:(Only on-site) Lecture Hall, Floor 3, Jin Chun Yuan West Bldg.
课程日期:2023-06-05~2023-07-31
Description:
This course will cover the following basic topics:
- randomization inference in experiments: design and analysis
- observational studies: identification and estimation with and without unconfoundedness, sensitivity analysis
- causal mechanisms: post-treatment complications, interaction
- difference in differences and panel data
- spillover and peer effects
Prerequisite:
Calculus, linear algebra, probability, statistics
Reference:
Lecture notes from the instructor
A First Course in Causal Inference.pdf
Target Audience:
Undergraduate students & Graduate students
Teaching Language:
Chinese
Bio:
Peng Ding is an Associate Professor in the Department of Statistics, UC Berkeley, working on causal inference. He obtained his Ph.D. from the Department of Statistics and worked as a postdoctoral researcher in the Department of Epidemiology, both at Harvard.

Registration:https://www.wjx.top/vm/riDZtV7.aspx#
[Deadline: 12:00 (noon), May 30, 2023]