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SUMMARY:Statistical Analysis of Functions on Surfaces\, with an applicatio
 n to Medical Imaging - Eardi Lila (University of Cambridge)
DTSTART:20180322T160000Z
DTEND:20180322T170000Z
UID:TALK102817@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Co-author: John Aston (University of Cambridge)  <br> <br> In 
 Functional Data Analysis\, data are commonly assumed to be smooth function
 s on a fixed interval of the real line. In this work\, we introduce a comp
 rehensive framework for the analysis of functional data\, whose domain is 
 a two-dimensional manifold and the domain itself is subject to variability
  from sample to sample. We formulate a statistical model for such data\, t
 hat we call Functions on Surfaces\, which enables a joint representation o
 f the geometric and functional aspects\, and propose an associated estimat
 ion framework. We apply the proposed framework to the analysis of neuroima
 ging data of cortical thickness\, acquired from the brains of different su
 bjects\, and thus lying on domains with different geometries.
LOCATION:Seminar Room 1\, Newton Institute
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