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UID:20260829T071629EDT-1070GK4OlJ@132.216.98.100
DTSTAMP:20260829T111629Z
DESCRIPTION:Kelly Ramsay\, PhD\n\nAssistant Professor | Department of Mathe
 matics and Statistics\n	York University\n\nWHEN: Wednesday\, February 7\, 2
 024\, from 3:30 to 4:30 p.m.\n\nWHERE: hybrid | 2001 McGill College Avenue
 \, room 1140\; Zoom\n\nNOTE: Dr. Ramsay will be presenting from Toronto\n
 \n \n\nAbstract\n\nConducting inference for functional data has various ch
 allenges. Some of these challenges include a lack of parametric models\, s
 low computation\, high-dimensionality\, and outliers. We can overcome many
  of these issues\, in the context of multi-sample testing for differences 
 in the covariance operator\, using functional Kruskal-Wallis for covarianc
 e (FKWC) rank tests. FKWC rank tests use a pooled center-outward ordering 
 of the sampled functions to measure differences in covariance structure be
 tween samples. The ordering is based on functional data depth\, which we s
 how is connected to the covariance operator. Various aspects of these test
 s are discussed\, along with an application to phoneme data. A related pro
 blem is multiple change-point detection in the covariance structure of fun
 ctional and multivariate data. We present FKWC procedures in the context o
 f change-point detection\, with an application to resting state f-MRI data
 .\n\nSpeaker bio\n\nPlease visit: https://www.kellyramsay.ca/\n
DTSTART:20240207T203000Z
DTEND:20240207T213000Z
SUMMARY:Nonparametric and Robust Inference for Covariance Operators
URL:https://www.mcgill.ca/epi-biostat-occh/channels/event/nonparametric-and
 -robust-inference-covariance-operators-354141
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