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UID:20260912T144837EDT-38691EaEjB@132.216.98.100
DTSTAMP:20260912T184837Z
DESCRIPTION:Title:\n\nOn copula-based regression models: from classical reg
 ression approaches to mixed models using factor copulas.\n\nAbstract:\n\nI
 n this talk\, we propose a copula-based framework for regression modelling
  in which the conditional distribution of the response variable\, given co
 variates\, is specified through a parametric family of continuous or discr
 ete distributions. For mixed models\, we incorporate cluster-level depende
 nce by introducing a common latent factor modeled via a factor copula. We 
 discuss the estimation of both the copula parameters and the marginal para
 meters\, and we derive the asymptotic behavior of the resulting estimators
 . Numerical experiments are performed to assess the precision of the estim
 ators for finite samples. An example of an application is given using COVI
 D-19 vaccination hesitancy from several countries. This is a joint work wi
 th Pavel Krupskii and Bruno Remillard.\n\nSpeaker\n\nProfessor Nasri is a 
 faculty member of Biostatistics in the Department of Social and Preventive
  Medicine. Prof. Nasri holds an FRQS Junior 2 award and is a principal inv
 estigator on grants funded by NSERC and CIHR in theoretical statistics for
  complex data and mathematical modelling for infectious diseases.  Since M
 arch 2023\, she has been nominated as Chair of PathCheck’s Data Informatic
 s Center of Epidemiology and since 2024\, she has been a co-director of th
 e digital health network in Québec. Prof. Nasri authored and co-authored s
 everal papers on time series\, dependence modelling\, multivariate statist
 ics\, and mathematical modelling for infectious diseases.\n
DTSTART:20260313T193000Z
DTEND:20260313T203000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Bouchra Nasri (Université de Montréal)
URL:https://www.mcgill.ca/mathstat/channels/event/bouchra-nasri-universite-
 de-montreal-371823
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