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X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
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TZID:Europe/Helsinki
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TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20250330T010000
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DTSTART:20251026T010000
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DTSTART;VALUE=DATE:20251210
DTEND;VALUE=DATE:20251213
DTSTAMP:20260710T005536
CREATED:20251208T092822Z
LAST-MODIFIED:20251208T092834Z
UID:18626-1765324800-1765583999@crest.science
SUMMARY:Workshop on Advances in MCMC Methods
DESCRIPTION:Nicolas Chopin will participate to the workshop on Advances in MCMC Methods and present his paper “What is actual the complexity of tempering (SMC)? \nWhat is actual the complexity of tempering (SMC) ? \nThere is some discrepancy in the literature regarding the complexity of tempering with respect to d\, the dimension of the sampling space. The complexity is partly determined by the length of the temperature ladder\, that is\, the sequence of tempering exponents 0=lambda_0 < … < lambda_T = 1. In the AIS (annealed importance sampling) literature\, it is often recommended to take T = O(d). Some SMC (Sequential Monte Carlo) papers instead suggest that ESS-based criteria leads to T=O(d^{1/2}).\nIn this talk\, I will present results from both a recent paper (with Francesca Crucinio and Anna Korba\, ICML 2024) and some preliminary work (with Yvann Le Fay and Matti Vihola) that shed light on this discrepancy. Basically\, for moments with respect to the target distribution\, T=O(d^{1/2})$ suffices to leads to estimates with variance O(1). However\, for the normalising constant\, variance is then O(T) = O(d^{1/2})$.\nThe actual complexity of the considered sampler will also depend\, of course\, on the mixing properties of the MCMC kernels used to rejuvenate the particles. I will explain how we can exploit some existing\, non-asymptotic results on such kernels to obtain the overall complexity of the sampler. \n
URL:https://crest.science/event/advances-in-mcmc-methods/
CATEGORIES:Conferences and Workshops,Statistics
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20251210T121500
DTEND;TZID=Europe/Helsinki:20251210T133000
DTSTAMP:20260710T005536
CREATED:20250807T090033Z
LAST-MODIFIED:20251202T101829Z
UID:18282-1765368900-1765373400@crest.science
SUMMARY:Garima SHARMA (Northwestern) - "Collusion Among Employers in India"
DESCRIPTION:Séminaire Microéconomie : Tous les mercredis\nHeure : 12h15 – 13h30\nDate : 10/12/2025\nSalle : 3001 \nGarima SHARMA (Northwestern) – “Collusion Among Employers in India” \nCV : \nThis paper evidences collusion among employers in the textile and clothing manufacturing industry in India. I develop a simple comparative static test to distinguish collusion from standard forms of imperfect competition\, showing that firm-specific demand shocks predict opposite employment effects at unshocked competitors who operate independently (↓ employment) versus firms that were previously colluding but whose collusion breaks due to the shock (↑ employment). Next\, I argue that large employers in the garment industry organize into industry associations to pay workers exactly the local minimum wage. Small demand shocks leave wages and employment at association members unchanged\, suggesting that firms are willing to forego opportunities to sustain collusion. However\, when a large demand shock leads affected members to deviate from the minimum wage\, unaffected non-members respond as in oligopsony (↑ wage\, ↓employment)\, but unaffected members respond as if their collusion dismantles (↑ wage\, ↑ employment). Imposing specific models of labor supply and production\, the “ full-IO” approach rejects oligopsony in favor of the breakdown of collusion. Collusion spurs substantial losses even compared to firms exercising their independent but not their\ncollective market power\, reducing the average worker’s wage by 9.6% and employment by 17%.\nOrganisateurs : \nMichele FABI (Télécom Paris – CREST)\n​​​​​​​​​​​​Hugo MOLINA (INRIA)\n​​​​​​​​​Louis PAPE (Télécom Paris – CREST) \nCommanditaires :\nCREST \n
URL:https://crest.science/event/martin-vaeth-pse-tba/
CATEGORIES:Microeconomics,Seminars
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