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Qingyuan Zhao (University of Cambridge), Yao Zhang (National University of Singapore)
Monday 19 January 2026, 11:00-12:00
What is new in randomization tests?
- đ¤ Speaker: Qingyuan Zhao (University of Cambridge), Yao Zhang (National University of Singapore)
- đ Date & Time: Monday 19 January 2026, 11:00 - 12:00
- đ Venue: Seminar Room 1, Newton Institute
Abstract
Randomization tests provide an assumption-lean framework for causal inference by exploiting the known randomization mechanism of an experiment. In a nutshell, these tests yield exact, finite-sample valid inference without relying on distributional assumptions, parametric models, or large-sample approximations. This talk will begin with a brief introduction to the core principles underlying randomization tests, including sharp null hypotheses, re-randomization, and the construction of test statistics. I will then focus on recent methodological developments that extend randomization-based inference beyond sharp nulls and classical experimental designs. In particular, I will discuss new approaches for complex experiments conducted over time or space in the presence of unit interference.
Series This talk is part of the Isaac Newton Institute Seminar Series series.
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