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X-WR-CALDESC:Events for CREST
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DTSTART:20220327T010000
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DTSTART;TZID=Europe/Helsinki:20220523T121500
DTEND;TZID=Europe/Helsinki:20220523T133000
DTSTAMP:20260711T233539
CREATED:20220506T070543Z
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SUMMARY:Stéphane DUPRAZ (Banque de France) "Make-up Strategies with Finite Planning Horizons but Forward-Looking Asset Prices "
DESCRIPTION:The Macroeconomics Seminar:\nTime: 12:15 pm – 13:30 pm\nDate: 23 th of May 2022\nRoom 3001 \nStéphane DUPRAZ (Banque de France) “Make-up Strategies with Finite Planning Horizons but Forward-Looking Asset Prices ” \nAbstract : How effective make-up strategies are depends heavily on how forward-looking agents are. Workhorse monetary models\, which are much forward-looking\, find them so effective that they run into the forward-guidance puzzle. Models that discount the future further find them much less effective\, but imply that agents discount the very perception of future policy rates. This only evaluates make-up strategies when financial markets do not notice them\, or deem them non-credible. We amend one leading solution to the forward-guidance puzzle—Woodford’s finite planning horizons—to the assumption that financial markets have rational expectations on policy rates\, and incorporate them into the long-term nominal interest rates faced by all. Agents still have a limited ability to foresee the consequences of monetary policy on output and inflation\, making the model still immune to the forward-guidance puzzle. First\, we find that make-up strategies that compensate for a past deficit of accommodation after an ELB episode have sizably better stabilization properties than inflation targeting. Second\, we find that make-up strategies that always respond to past economic conditions\, such as average inflation targeting\, do too but that their stabilization benefits over IT can be reduced by the existence of the ELB. \nOrganizers:\nJean-Baptiste MICHAU (Polytechnique) \nSponsors:\nCREST \n
URL:https://crest.science/event/stephane-dupraz-banque-de-france-t-b-a/
CATEGORIES:Macroeconomics
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DTSTART;TZID=Europe/Helsinki:20220523T140000
DTEND;TZID=Europe/Helsinki:20220523T151500
DTSTAMP:20260711T233539
CREATED:20220408T144512Z
LAST-MODIFIED:20220518T103857Z
UID:13577-1653314400-1653318900@crest.science
SUMMARY:Maxim Panov (Skoltech)- "Optimal estimation in Mixed-Membership Stochastic Block Models "
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 23th of May 2022\nPlace: salle 3001 \nMaxim Panov (Skoltech) – “Optimal estimation in Mixed-Membership Stochastic Block Models” \nAbstract: Community detection is one of the central problems in modern network science. It has numerous applications in the analysis of social and biological networks\, designing network protocols and many other areas. Recently\, much attention has been paid to the detection of overlapping communities\, where each node in a network may belong to multiple groups. We consider the parameter estimation problem in Mixed Membership Stochastic Block Model (MMSB)\, which is a quite general instance of a random graph model allowing for overlapping community structure. We discuss different approaches to parameter estimation in this model\, their theoretical properties and practical performance. Finally\, we propose an approach to improve over existing estimates that allows obtaining minimax optimal rates of estimation for all the model parameters. \n  \nOrganizers:\nCristina BUTUCEA (CREST)\, Alexandre TSYBAKOV (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST)\nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/maxim-panov-skoltech-optimal-estimation-in-some-graph-and-topic-models/
CATEGORIES:Statistics
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