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Long NguyenProfessor of Statistics, Department of Statistics, University of MichiganDirector of Master's programs in Statistics Other affiliations:
Email: xuanlong@umich.edu
Mail Address: 439 West Hall, 1085 South University, Ann Arbor, MI 48109-1107 |
Prospective PhD students: Please consider applying to Michigan and thank you for your interest. Admissions decision is made a graduate admissions committee, please see this link for further information.
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I am particularly interested in a field in statistics known as Bayesian nonparametrics, which provides a fertile and powerful mathematical framework for the development of many computational and statistical modeling ideas. The spirit of Bayesian nonparametric statistics is to enable the kind of inferential procedures according to which both the statistical modeling and computational complexity may adapt to increasingly large and complex data patterns in a probabilistically graceful and effective way. In this framework, stochastic processes and random measures, along with latent variable models such as mixture, hierarchical and graphical models figure prominently. My students and I seek to understand the interaction between statistical inference and the theory of optimal transport that arises in the learning of complex hierarchical models and spatiotemporal and functional patterns.
My motivation for all this came originally from an early and sustained interest in machine learning. A primary focus in our machine learning research is to develop more effective inference algorithms using variational, stochastic and geometric viewpoints.
Current PhD students:
"XuanLong Nguyen" is used in my English publications. The Vietnamese name is
Nguyễn Xuân Long