EP-IT Data Science Seminars

PHYSTAT seminar: Some new concepts in methodological statistics, that could be of utility in the sciences

by Prof. Aaditya Ramdas (Carnegie Mellon University)

Europe/Zurich
CERN

CERN

Description

I will cover, at a relatively high level, a set of recent conceptual advances, and what I view is their utility to the sciences. These will range from universal inference (hypothesis testing), online control of false discoveries (multiple hypothesis testing), e-values (sequential alternative to p-values), confidence sequences (aka how to peek at your data as you collect it), masking (aka how to interact with your data after you've collected it) and conformal prediction (uncertainty quantification for black-box machine learning prediction methods).

The seminar will be done remote only.

Organised by

M. Girone, M. Elsing, L. Moneta, M. Pierini
Event co-organised with the PHYSTAT Committee

Videoconference
EP/IT Data Science Seminar
Zoom Meeting ID
98545267593
Description
EP/IT Data Science seminar
Host
Lorenzo Moneta
Alternative hosts
Thomas Nik Bazl Fard, EP Seminars and Colloquia, Maurizio Pierini, Caroline Cazenoves, Maria Girone, Markus Elsing, Pascal Pignereau
Passcode
97200142
Useful links
Join via phone
Zoom URL