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Saturday, October 20 • 10:00am - 10:30am
When Classical Statistics Meet Modern Data Science

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Modern applications have generated many data sets of complex nature, such as high dimensionality, heterogeneity and unknown structure of interest. In this talk, I will discuss a few ideas on extending traditional statistical methods such as the principal component analysis, expectation maximization, and mixture model, to accommodate challenges in those applications. Theoretical properties, numerical results, and applications in biomedical studies will be discussed.

avatar for Weining Shen

Weining Shen

Professor, UC Irvine
Weining Shen is assistant professor of Statistics at UC Irvine. He received his PhD from North Carolina State University in 2013, and his thesis won the Leonard J. Savage Dissertation Award. In 2013-2015, he was a postdoctoral fellow in Department of Biostatistics, M.D. Anderson Cancer... Read More →

Saturday October 20, 2018 10:00am - 10:30am
Ballroom # 409