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DESCRIPTION:Bouchra Nasri\, PhD\n\nAssistant Professor | Department of Soci
 al and Preventive Medicine |\n\nUniversité de Montréal\n\n\n	WHERE: In-Pers
 on - 2001 51³Ô¹ÏÍøCollege Avenue\, Rm 1140\; Zoom\n\n	NOTE: Social gathering
  (Kitchen Lounge Rm 1205)  3-3:30pm\n\n	Abstract\n\n	\n		Copula-based regressi
 on models have become very popular in several fields of applications over 
 the past decade\, including in health sciences. While these approaches are
  interesting\, especially for capturing complex dependence structures\, th
 ey are often used in a restricted or mistaken way in practice. In this tal
 k\, I will present several copula-based regression models and discuss thei
 r advantages and disadvantages.\n\n		Speaker Bio\n\n		Professor Nasri is a fac
 ulty member of Biostatistics in the Department of Social and Preventive Me
 dicine. Prof. Nasri is an FRQS Junior 1 Scholar in Artificial Intelligence
  in Health and Digital Health. She holds an NSERC Discovery Grant in Stati
 stics for time series dependence modelling for complex data. Prof. Nasri a
 nd her team are working mainly on the development of statistical learning 
 methods\, artificial intelligence methods and mathematical models for infe
 ctious diseases and public health threats related to climate change. Prof 
 Nasri completed a Ph.D. under the supervision of Taoufik Bouezmarni\, Taha
  Ouarda\, and André St-Hilaire\, an MSc under the supervision of Salah El-
 Adlouni and Taha Ouarda at INRS-ETE on developing Statistical approaches f
 or extremes related to Climate Changes and an Ingénieur d'État degree (eq.
  MSc) in Statistics at INSEA. She also completed a postdoctoral fellowship
  in theoretical statistics at 51³Ô¹ÏÍøand HEC Montréal funded by the FRQNT\
 , CANSSI and GERAD. She authored and co-authored several papers on time se
 ries\, spatial dependence\, multivariate statistics\, compartmental modell
 ing\, text mining\, and evidence synthesis.\n\n		Website: https://www.bouchr
 arnasri.com/\n\n		 \n	\n\n
DTSTART:20230329T193000Z
DTEND:20230329T203000Z
SUMMARY:Copula-based regression models: the good\, the bad and the ugly
URL:/epi-biostat-occh/channels/event/copula-based-regr
 ession-models-good-bad-and-ugly-347205
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