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X-WR-CALDESC:Events for CREST
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TZID:Europe/Helsinki
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DTSTART:20260329T010000
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DTSTART:20261025T010000
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DTSTART;TZID=Europe/Helsinki:20260119T140000
DTEND;TZID=Europe/Helsinki:20260119T153000
DTSTAMP:20260712T073435
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
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DTSTART;TZID=Europe/Helsinki:20260119T140000
DTEND;TZID=Europe/Helsinki:20260119T151500
DTSTAMP:20260712T073435
CREATED:20251229T135631Z
LAST-MODIFIED:20260102T075132Z
UID:18677-1768831200-1768835700@crest.science
SUMMARY:Robin NG (University of Mannheim) "Competition Through Recommendations”"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Macro seminar\nTime : 12h15- 13h30\nDate : 19t h  January 2026 \nSalle 3001 \nRobin NG (University of Mannheim) “Competition Through Recommendations” \nAbstract: This paper examines how two-sided platforms develop their recommender systems to be precise about value-for-money. On each platform\, more precise recommendations generate ranking and screening effects: they steer demand toward high value-for-money products\, intensifying price competition among firms which drives out lower-quality firms. Thus\, more precise recommendations benefit consumers but reduce platform’s per-transaction revenue. A monopolist platform still prefers precise recommendations\, as this expands demand. Competing platforms choose even more precise recommendations. However\, when consumers search across platforms or recommender systems are overly complex\, recommendations become less precise. This shows that market power is only one potential explanation for ‘ensh*ttification‘. \n  \nOrganizer : Michele Fabi \n
URL:https://crest.science/event/robin-ng-university-of-mannheim-t-b-a/
CATEGORIES:Macroeconomics,Seminars
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