Colloquium: Dr. Frank Coolen (Durham) - Nonparametric predictive inference for reproducibility of hypothesis tests
Frank Coolen (Durham University) -Nonparametric predictive inference for reproducibility of hypothesis tests
Speaker: Frank Coolen (Durham University)
Date / Time: Friday, September 28 @ 3:30 P.M.
Location: ARTS 214
Title: Nonparametric predictive inference for reproducibility of hypothesis tests
Abstract: Nonparametric predictive inference (NPI) is a frequentist statistics method based on few assumptions, with uncertainty quantified by imprecise probabilities. After a brief introduction to NPI we will apply it to investigate reproducibility of several basic statistical hypothesis tests, considering the question whether or not the final test result with respect to rejection of the null hypothesis would be the same if the test were repeated. This is an important practical issue which has received relatively little attention, and about which there is a lot of confusion. We end the presentation with a brief discussion of related research challenges.
Note for Grad Students: Attendance is mandatory for graduate students in Math & Stats. There will be a sign-in sheet at the talk.
We hope to see you all there!
Colloquium Committee
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