BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:What is new in randomization tests? - Qingyuan Zhao (University of
  Cambridge)\, Yao Zhang (National University of Singapore)
DTSTART:20260119T110000Z
DTEND:20260119T120000Z
UID:TALK241762@talks.cam.ac.uk
DESCRIPTION:\n\n\n\n\n\n\n\n\n\n\nRandomization tests provide an assumptio
 n-lean framework for causal inference by exploiting the known randomizatio
 n mechanism of an experiment. In a nutshell\, these tests yield exact\, fi
 nite-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 cons
 truction of test statistics. I will then focus on recent methodological de
 velopments that extend randomization-based inference beyond sharp nulls an
 d classical experimental designs. In particular\, I will discuss new appro
 aches for complex experiments conducted over time or space in the presence
  of unit interference.\n\n\n\n\n\n\n\n\n\n\n\n
LOCATION:Seminar Room 1\, Newton Institute
END:VEVENT
END:VCALENDAR