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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Object Data Driven Discovery - Ian Dryden (Univers
 ity of Nottingham)
DTSTART;TZID=Europe/London:20180320T143000
DTEND;TZID=Europe/London:20180320T153000
UID:TALK102673AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/102673
DESCRIPTION:Object data analysis is an important tool in the m
 any disciplines where the data have much richer st
 ructure than the usual numbers or vectors. An init
 ial question to ask is: what are the most basic da
 ta units? i.e. what are the atoms of the data? We 
 describe an introduction to this topic\,  where th
 e statistical analysis of object data has a wide v
 ariety of applications. An important aspect of the
  analysis is to reduce the dimension to a small nu
 mber key features while respecting the geometry of
  the manifold in which objects lie. Three case stu
 dies are given which exemplify the types of issues
  that are encountered: i) Describing changes in va
 riability in damaged DNA\, ii) Testing for geometr
 ical differences in carotid arteries\, where patie
 nts are at high or low risk of aneurysm\, iii) clu
 stering enzymes observed over time. In all three a
 pplications the structure of the data manifolds is
  important\, in particular the manifold of covaria
 nce matrices\, unlabelled size-and-shape space and
  shape space.
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:INI IT
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