BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Lisa Gaedke Merzhauser - Recent Developments in the INLAverse: Bay
 esian Inference for Latent Gaussian Models
DTSTART:20260521T110000Z
DTEND:20260521T120000Z
DTSTAMP:20260715T220200Z
UID:indico-event-16202@indico.math.cnrs.fr
CONTACT:denis.rustand@u-bordeaux.fr
DESCRIPTION:Speakers: Lisa Gaedke Merzhauser\n\nSpeaker: Lisa Gaedke Merzh
 auser from KAUST\nTitle: Recent Developments in the INLAverse: Bayesian In
 ference for Latent Gaussian Models\nAbstract: The methodology of integrate
 d nested Laplace approximations (INLA) offers fast and accurate Bayesian i
 nference for the class of latent Gaussian models. In this talk\, I will gi
 ve a brief overview of INLA and its applicable model class\, before diving
  into some recent developments. These include the extension to new model c
 lasses and improvements in computational performance through a new sparse 
 linear solver for the R-INLA package. Further\, I will introduce DALIA\, a
  new standalone Python implementation of INLA\, which was designed to run 
 on your laptop as well as on hundreds of GPUs simultaneously\, and illustr
 ate its use in a large-scale air pollution study.\nCalendar subscription l
 ink for the complete seminar series:https://indico.math.cnrs.fr/category/7
 11/events.ics\nProgram of the Biostatistics seminars:https://indico.math.c
 nrs.fr/category/711/\nSubscribe to the seminar mailing list:https://diff.u
 -bordeaux.fr/sympa/subscribe/seminaire.biostat.bph\nFormer e-seminars on o
 ur YouTube channel (mostly in French): https://www.youtube.com/channel/UCU
 Rp-hEQL7k23UzGfqgEurA/videos\n \nBiostatistics seminar series from the De
 partment of Public Health from the University of Bordeaux and the Bordeaux
  Population Health UMR 1219 research center\n \n\nhttps://indico.math.cnr
 s.fr/event/16202/
LOCATION:amphi Louis (ISPED)
URL:https://indico.math.cnrs.fr/event/16202/
END:VEVENT
END:VCALENDAR