BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CREST - ECPv5.1.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CREST
X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20261025T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20260119T140000
DTEND;TZID=Europe/Helsinki:20260119T153000
DTSTAMP:20260709T224858
CREATED:20251208T145751Z
LAST-MODIFIED:20260116T072830Z
UID:18635-1768831200-1768836600@crest.science
SUMMARY:Elsa CAZELLES (CNRS- IRIT)  - Principal component analysis for probability distributions: a review
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 19th January\nPlace: 3001 \n  \nElsa CAZELLES (CNRS- IRIT) – Principal component analysis for probability distributions: a review \n Abstract:  \nI will present different ways of conducting principal component analysis of datasets whose elements are probability distributions. For that purpose\, I will consider the Riemannian-like structure of the space of probability distributions (with moments of order 2) endowed with the Wasserstein metric. The nice geometric properties (such as the existence of geodesics) of the Wasserstein space do not\, however\, allow applying classical statistical learning tools such as PCA for Hilbert spaces. Using techniques borrowed from Riemannian geometry\, I will present different tools to produce a meaningful second order statistical analysis of a dataset of probability measures\, focusing on the one-dimensional case\, the Gaussian case\, and the linearization of the Wasserstein metric. \n  \n  \n  \nOrganizers: \nAnna KORBA (CREST)\, Vincent DIVOL (CREST) \, Jaouad MOURTADA (CREST) \n  \n  \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/elsa-cazelles-cnrs-irit-tba/
CATEGORIES:Seminars,Statistics
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR