Michael Levine

Mathematical Statistics and Data Science

Purdue Department of Statistics
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Zhou Shen

I am a fifth-year Ph.D. candidate in the department of statistics. I received my B.S. degree in Statistics from SGY at University of Science and Technology of China; I also have an M.S. degree in Statistics with specialization in Computational Finance from Purdue. My research interests are in nonparametric statistics and machine learning. Currently, I am working on a project a regularization based approach to estimation of a two-component semiparametric density mixture, in which one component is assumed known. This project combines approaches from classical statistics and optimization to produce efficient algorithms for estimation of components of various semiparametric mixture models.