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X-WR-CALNAME:CREST
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:20230326T010000
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DTSTART:20231029T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20231127T121500
DTEND;TZID=Europe/Helsinki:20231127T133000
DTSTAMP:20260710T232632
CREATED:20231016T100422Z
LAST-MODIFIED:20231113T065002Z
UID:16080-1701087300-1701091800@crest.science
SUMMARY:FABI Michele (CREST) "Blockchain design with transmission delays"
DESCRIPTION:Macro seminar\nTime : 12h15 – 13h30 \nDate : 27 November 2023 \nSalle 3001 \nFABI Michele (CREST) “Blockchain design with transmission delays” \nAbstract: I develop a parsimonious model of blockchain consensus with transmission delays. I characterize the optimal reward mechanism for miners\, showing that it includes both seigniorage from token emissions and transaction fees. Seigniorage convinces miners to operate when pending transactions are scarce. Fees make miners willing to record transactions by offsetting the higher forking risk stemming from increased block size. I demonstrate that transmission delays create a limited-scalability problem. I also show that rewarding forked blocks can raise welfare and that burning tokens can solve consensus incentive problems when verification delays replace transmission delays. \n Alessandro RIBONI (CREST) \n
URL:https://crest.science/event/fabi-michele-crest-t-b-a/
CATEGORIES:Macroeconomics,Seminars
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20231127T140000
DTEND;TZID=Europe/Helsinki:20231127T151500
DTSTAMP:20260710T232632
CREATED:20231120T135413Z
LAST-MODIFIED:20231120T140303Z
UID:16246-1701093600-1701098100@crest.science
SUMMARY:Zacharie NAULET (Université Paris Saclay) - Frontiers to the learning (and clustering) of Hidden Markov Models
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 27th November 2023\nPlace : 3001 \n  \nZacharie NAULET (Université Paris Saclay) – Frontiers to the learning (and clustering) of Hidden Markov Models \n  \n  \nAbstract: \n  \nHidden Markov models (HMMs) are flexible tools for clustering dependent data coming from unknown populations\, allowing nonparametric identifiability of the population densities when the data is « truly » dependent. In the first part of the talk\, I will talk about our result characterizing the frontier between learnable and unlearnable two-state nonparametric HMMs in term of a suitable notion of « distance » to independence. I will present surprising new phenomena emerging in the nonparametric setting. In particular\, it is possible to « borrow strength » from the estimator of the smoothest density to improve the estimation of the other.  We conduct a precise analysis of minimax rates\, showing a transition depending on compared smoothnesses of the emission densities. In the (short) second part\, I will present our result on clustering HMM data. We compute upper and lower bounds on the Bayes risk of clustering and we identify the key quantity determining the difficulty of the clustering task. \n  \nFirst part is joint work with : Kweku Abraham and Elisabeth Gassiat\, second part is joint work with Elisabeth Gassiat and Ibrahim Kaddouri \n  \n  \nOrganizers:\nCristina BUTUCEA (CREST)\, Anna KORBA (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST) \n  \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/zacharie-naulet-universite-paris-saclay-frontiers-to-the-learning-and-clustering-of-hidden-markov-models/
CATEGORIES:Statistics
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20231127T140000
DTEND;TZID=Europe/Helsinki:20231127T140000
DTSTAMP:20260710T232632
CREATED:20231124T100625Z
LAST-MODIFIED:20231124T100625Z
UID:16269-1701093600-1701093600@crest.science
SUMMARY:Zacharie Naulet (Université Paris-Saclay) "Frontiers to the learning (and clustering) of Hidden Markov Models"
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 27th November 2023\nPlace: 3001 \n  \nZacharie Naulet (Université Paris-Saclay) “Frontiers to the learning (and clustering) of Hidden Markov Models” \nAbstract: Hidden Markov models (HMMs) are flexible tools for clustering dependent data coming from unknown populations\, allowing nonparametric identifiability of the population densities when the data is « truly » dependent. In the first part of the talk\, I will talk about our result characterizing the frontier between learnable and unlearnable two-state nonparametric HMMs in term of a suitable notion of « distance » to independence. I will present surprising new phenomena emerging in the nonparametric setting. In particular\, it is possible to « borrow strength » from the estimator of the smoothest density to improve the estimation of the other.  We conduct a precise analysis of minimax rates\, showing a transition depending on compared smoothnesses of the emission densities. In the (short) second part\, I will present our result on clustering HMM data. We compute upper and lower bounds on the Bayes risk of clustering and we identify the key quantity determining the difficulty of the clustering task. \nFirst part is joint work with Kweku Abraham and Elisabeth Gassiat\, second part is joint work with Elisabeth Gassiat and Ibrahim Kaddouri. \nOrganizers: \nCristina BUTUCEA (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST) \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/zacharie-naulet-universite-paris-saclay-frontiers-to-the-learning-and-clustering-of-hidden-markov-models-2/
CATEGORIES:Seminars,Statistics
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20231127T163000
DTEND;TZID=Europe/Helsinki:20231127T180000
DTSTAMP:20260710T232632
CREATED:20231115T143134Z
LAST-MODIFIED:20231115T143134Z
UID:16242-1701102600-1701108000@crest.science
SUMMARY:Conférence budget 2024
DESCRIPTION:Conférence du budget avec l’Observatoire Macro du CEPREMAP. \nAvec la participation de Eric Coquerel\, Jean-René Cazeneuve et François Lenglet. \nInscriptions : https://ebaf8297.sibforms.com/serve/MUIFAGl1yEeXRqVNr9ZJV6wsrfilGsxh66XHk_ZRiUOcIClKDxNex4wrJceDDvDaNripdDfPOe7FDIA7yKJWZeIjChL4109_twNI6qDGz_QwmrVd239gHm0AM1Ir0-g8N7wnEnuB6M61sKyMXhA9Xk4WKVvLYgCRUFRI-GpHcmAWpaejynClok-n-OEQkTUcBB1rAL2DuzPfGBkh \n
URL:https://crest.science/event/conference-budget-2024/
LOCATION:Campus Jourdan
CATEGORIES:Conferences and Workshops,Economics
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