International Seminar on Selective Inference
International Seminar on Selective Inference
A weekly online seminar on selective inference, multiple testing, and post-selection inference.
Gratefully inspired by the Online Causal Inference Seminar
A weekly online seminar on selective inference, multiple testing, and post-selection inference.
Gratefully inspired by the Online Causal Inference Seminar
For announcements and Zoom invitations please subscribe to our mailing list.
We are taking a break for the summer and will resume in the fall. See you soon!
The seminars are held on Zoom and last 60 minutes:
45 minutes of presentation
15 minutes of discussion, led by an invited discussant
Moderators collect questions using the Q&A feature during the seminar.Â
You can attend by clicking the link to join (there is no need to register in advance).
More instructions for attendees can be found here.
Jelle Goeman (Leiden University)
Nikos Ignatiadis (University of Chicago)
Lihua Lei (Stanford University)
Zhimei Ren (University of Pennsylvania)
Will Fithian (UC Berkeley)
Rina Barber (University of Chicago)
Daniel Yekutieli (Tel Aviv University)
If you have feedback or suggestions or want to propose a speaker, please e-mail us at selectiveinferenceseminar@gmail.com.
Broadly construed, selective inference means searching for interesting patterns in data, usually with inferential guarantees that account for the search process. It encompasses:
Multiple testing: testing many hypotheses at once (and paying disproportionate attention to rejections)
Post-selection inference: examining the data to decide what question to ask, or what model to use, then carrying out one or more appropriate inferences
Adaptive / interactive inference: sequentially asking one question after another of the same data set, where each question is informed by the answers to preceding questions
Cheating: cherry-picking, double dipping, data snooping, data dredging, p-hacking, HARKing, and other low-down dirty rotten tricks; basically any of the above, but done wrong!