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SUMMARY:Elias Krainski from KAUST - Making complex interaction models easi
 er to work with
DTSTART:20260625T110000Z
DTEND:20260625T120000Z
DTSTAMP:20260715T231200Z
UID:indico-event-16203@indico.math.cnrs.fr
CONTACT:denis.rustand@u-bordeaux.fr
DESCRIPTION:Speakers: Elias Krainski (KAUST)\n\nSpeaker: Elias Krainski fr
 om KAUSTTitle: Making complex interaction models easier to work with\nAbst
 ract: The Gaussian Markov Random Field (GMRF) model is a key ingredient to
  model dependency over different domains. It includes modeling temporal or
  spatial dependency and earlier statistical models leverage the GMRF used 
 to model spatially varying trends. Then the most common approach became to
  consider a random interaction between two random effects\, one to account
  for the temporal correlation and the other to account for the spatial dep
 endence. This led to the use of the so-called Kronecker product models\, w
 hen the precision matrix for the interaction random effect is the Kronecke
 r between the one from the temporal domain and the one from the spatial do
 main. Our purpose is to make it easy to try different kinds of interaction
  models. By integrating recent advancements in both theoretical modeling a
 nd software architecture\, our approach prioritizes model interpretability
  alongside computational accessibility. We leverage existing software ecos
 ystems to provide an extensible suite of tools that streamlines the deploy
 ment of complex spatial and spatio-temporal models\, including joint model
 ing for multivariate outcomes. The utility and performance of these tools 
 are demonstrated through applications to real-world datasets. In particula
 r\, we show its use to jointly analyse the rates of multiple diseases.\n 
 \nCalendar subscription link for the complete seminar series:https://indic
 o.math.cnrs.fr/category/711/events.ics\nProgram of the Biostatistics semin
 ars:https://indico.math.cnrs.fr/category/711/\nSubscribe to the seminar ma
 iling list:https://diff.u-bordeaux.fr/sympa/subscribe/seminaire.biostat.bp
 h\nFormer e-seminars on our YouTube channel (mostly in French): https://ww
 w.youtube.com/channel/UCURp-hEQL7k23UzGfqgEurA/videos\n \nBiostatistics s
 eminar series from the Department of Public Health from the University of 
 Bordeaux and the Bordeaux Population Health UMR 1219 research center\n \n
 \nhttps://indico.math.cnrs.fr/event/16203/
LOCATION:Module 1.4 (ISPED)
URL:https://indico.math.cnrs.fr/event/16203/
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