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Statistical Analysis of High-Dimensional Multi-way Imaging and Genetic Data

Zhaoxia Yu, Associate Professor, Department of Statistics, University of California, Irvine

Tuesday, February 21, 2017
  3:45–5:45 p.m.


Location: Olmsted Hall 420
  Parking Information

Category: Colloquium

Description:

Zhaoxia Yu, Ph.D.
Associate Professor,
Vice Chair of Undergraduate Affairs, Statistics
University of California, Irvine
Irvine, CA


presents:


Statistical Analysis of High-Dimensional Multi-way Imaging
and Genetic Data


Abstract:


Advances in neuroimaging and biotechnology make it possible to investigate genetic perspectives of brain activities and human behaviors in a systematic way. Indeed, dozens of studies have been recently conducted to assess the genetic components of structural imaging data. On the other hand, data in such studies are inherently high-dimensional and multi-way; as a result, the key challenge here is to model associations between multiple sets of massive, complexly structured, and high-dimensional data. In this talk, I will present our statistical analysis that aims to examine the connection between human behaviors, genetics, and functional brain activities captured by functional Magnetic Resonance Imaging (fMRI).


Biography:
Dr. Yu is Associate Professor, and Vice Chair of Undergraduate Affairs, Statistics. She earned her Ph.D. in Statistics, Rice University, 2005; an M.S. in Statistics, University of California at Davis, 2002, and a B.S. in Statistics, University of Science and Technology of China, 2000. Her research interests include Statistics and Statistical Theory.





Open to: General Public
Admission: Free
Sponsor: Statistics Department

Contact Information:
Paula Lemire
(951) 827-6009
plemire@ucr.edu