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SUMMARY:Joint and Individual Variation Explained (JIVE) - James Marron (Un
 iversity of North Carolina )
DTSTART:20160729T100000Z
DTEND:20160729T110000Z
UID:TALK66902@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:A major challenge in the age of Big Data is the integration of
  disparate data types into a data analysis.&nbsp\; That is tackled here in
  the context of data blocks measured on a common set of experimental subje
 cts.&nbsp\; This data structure motivates the simultaneous exploration of 
 the joint and individual variation within each data block.&nbsp\; This is 
 done here in a way that scales well to large data sets (with blocks of wil
 dly disparate size)\, using principal angle analysis\, careful formulation
  of the underlying linear algebra\, and differing outputs depending on the
  analytical goals.&nbsp\; Ideas are illustrated using mortality\, cancer a
 nd neuroimaging data sets.&nbsp\; This talk reveals several new challenges
  in network analysis\, from a post-JIVE network analysis on the original d
 ata types\, to an integration of network methods into the heart of the JIV
 E methodology.
LOCATION:Seminar Room 2\, Newton Institute
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