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DTSTAMP:20251008T193222Z
DESCRIPTION:TITLE / TITRE\n\nFunctional Neural Networks\n	\n	ABSTRACT /RÉSUMÉ
 \n\nFunctional data analysis (FDA) is a growing statistical field for anal
 yzing curves\, images\, or any multidimensional functions\, in which each 
 random function is treated as a sample element. Functional data is found c
 ommonly in many applications such as longitudinal studies and brain imagin
 g. In this talk\, I will present a methodology for integrating functional 
 data into deep neural networks. The model is defined for scalar responses 
 with multiple functional and scalar covariates. A by-product of the method
  is a set of dynamic functional weights that can be visualized during the 
 optimization process. This visualization leads to greater interpretability
  of the relationship between the covariates and the response relative to c
 onventional neural networks. The model is shown to perform well in a numbe
 r of contexts including prediction of new data and recovery of the true un
 derlying relationship between the functional covariate and scalar response
 \; these results were confirmed through real data applications and simulat
 ion studies\n\nPLACE / LIEU\n	Hybride - CRM\, Salle / Room 5340\, Pavillon 
 André Aisenstadt\n\nZOOM\n	https://us06web.zoom.us/j/84226701306?pwd=UEZ5NV
 pZaUlldW5qNU8vZzIvbEJXQT09\n
DTSTART:20240415T140000Z
DTEND:20240415T140000Z
SUMMARY:Jiguo Cao (Simon Fraser University)
URL:/mathstat/channels/event/jiguo-cao-simon-fraser-un
 iversity-356769
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