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UID:20250708T025647EDT-2530XzCjoU@132.216.98.100
DTSTAMP:20250708T065647Z
DESCRIPTION:Title: A functional data approach for statistical shapes analys
 is\n\nAbstract:\n\nThe shape X~X~ of a random planar curve\, XX\, is what 
 remains when the deformation variables (scaling\, rotation\, translation\,
  and reparametrization) are removed. Previous studies in statistical shape
  analysis have focused on analyzing X~X~ through discrete observations of 
 XX. While this approach has some computational advantages\, it overlooks t
 he continuous nature of variables: X~X~\, XX\, and it ignores the potentia
 l dependence of deformation variables on each other and X~X~\, which resul
 ts in a loss of information in the data structure. I will introduce a new 
 framework for studying XX based on functional data analysis in this presen
 tation. Basis expansion techniques are employed to find analytic solutions
  for deformation variables such as rotation and parametrization deformatio
 ns. Then\, the generative model of XX is investigated using a joint-princi
 pal component analysis approach. Numerical experiments on synthetic and re
 al datasets demonstrate how this new approach performs better at analyzing
  random planar curves than traditional functional data methods.\n\nSpeaker
 \n\nIssam Moindjié obtained his PhD in Statistics in 2023 from the Univers
 ity of Lille\, France. He has been a postdoctoral researcher at UQAM since
  June 2024. His current research interests include functional data analysi
 s\, statistical shape analysis\, and spatial statistics.\n\nhttps://mcgill
 .zoom.us/j/87824357176\n\nMeeting ID: 878 2435 7176\n\nPasscode: None\n
DTSTART:20241011T193000Z
DTEND:20241011T203000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Issam Moindjié (UQAM) 
URL:/mathstat/channels/event/issam-moindjie-uqam-36024
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