Instructor：Peng Ding (University of California, Berkeley)
Schedule：Tues. & Thur., 15:20-17:20, Dec. 23 & Dec. 25, 2025
Venue：B627, Tsinghua University Shuangqing Complex Building A
Date：2025-12-23~2025-12-25
Description:
I will discuss the recent advances in analyzing complex experiments from a causal inference perspective. I will cover the following experiments:
- Network experiments
- Bipartite experiments
- Time-series experiments
- Crossover experiments
Prerequisite:
Probability and Statistics, Some basic knowledge of causal inference, e.g., https://arxiv.org/abs/2305.18793
Reference:
A first course in causal inference: https://arxiv.org/abs/2305.18793
- https://www.sciencedirect.com/science/article/pii/S0304407625001733
- https://arxiv.org/abs/2501.09844
- https://arxiv.org/html/2510.22864v1
Target Audience: Undergraduate students, Graduate students
Teaching Language: Chinese, with English terminologies
Personal Website：https://statistics.berkeley.edu/people/peng-ding
Registration: https://www.wjx.top/vm/tU4KggH.aspx#
