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PRODID:-//University of Utah Math Department//Dimension Reduction of Neuroimaging Data Analysis//EN
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X-WR-CALNAME:Dimension Reduction of Neuroimaging Data Analysis
X-WR-CALDESC:Dimension Reduction of Neuroimaging Data Analysis at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
BEGIN:VEVENT
UID:20170202T160000-dan-shen@math.utah.edu
DTSTART;TZID=America/Denver:20170202T160000
DTEND;TZID=America/Denver:20170202T170000
DTSTAMP:20260922T150858Z
SUMMARY:Dimension Reduction of Neuroimaging Data Analysis
DESCRIPTION:Speaker: Dan Shen\, University of South Florida\n\nHigh dimensionality has become a common feature of "big data” encountered in many divergent fields, such as neuroimaging and genetic analysis, which provides modern challenges for statistical analysis. To cope with the high dimensionality, dimension reduction becomes necessary. Principal component …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2017-02-02-dan-shen/
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