Yanxin Xu (3283)

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Ultra-High-Dimensional Statistical Learning

Hometown:  Williamsburg, Virginia

Department:  Mathematics-Applied

Advisor:  Guannan Wang

Project Description:

My Honors project aims to develop an efficient statistical learning method to analyze ultra-high-dimensional data (n<<p). More specifically, I will use different methods in both parametric and non-parametric techniques to achieve dimension reduction. I will also develop a package in R for non-parametric screening for general high-dimensional data. Moreover, I will try a new parallel computing algorithm to improve the computing efficiency.

All William & Mary Honors Fellowships fundraising supports the Charles Center Honors Fellowships Fund. Direct support for individual undergraduate research projects is distributed by the Roy R. Charles Center for Academic Excellence

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Donor list

Matthew B. Siano, Esq., '96
Cory Chainsman
Hanyang Xu
Thomas Perry
Zinan Zhang
Bill Gao

An Anonymous Donor matched $250
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