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UID:20251021T024711EDT-71902v9u0N@132.216.98.100
DTSTAMP:20251021T064711Z
DESCRIPTION:Title: Repulsiveness for integration (not my social program)\n
 \n\n	Abstract:\n\n\nIntegral estimation in any dimension is an extensive to
 pic\, largely treated in the literature\, with a broad range of applicatio
 ns. Monte-Carlo type methods arise naturally when one looks forward to qua
 ntifying/controlling the error. Many methods have already been developped:
  MCMC\, Poisson disk sampling\, QMC (and randomized versions)\, Bayesian q
 uadrature\, etc. In this talk\, I’ll consider a different approach which c
 onsists in defining the quadrature nodes as the realization of a spatial p
 oint process. In particular I’ll show that a very specific class of determ
 inantal point processes\, a class of repulsive point patterns\, has excell
 ent properties and is able to estimate efficiently integrals for non-diffe
 rentiable functions with an explicit and faster rate of convergence than c
 urrent methods.\n\n\n	Speaker\n\n\nJean-Francois Coeurjolly is Professor of
  Statistics in the Department of Mathematics\, UQAM. His research focuses 
 on random fields\, fractional processes\, spatial statistics. He serves as
  the associate editor for Scandinavian Journal of Statistics and Statistic
 s and Probability Letters.\n
DTSTART:20191011T193000Z
DTEND:20191011T203000Z
LOCATION:Room 1205\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Jean-Francois Coeurjolly
URL:/mathstat/channels/event/jean-francois-coeurjolly-
 301452
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