University of Michigan

 

 

https://lsa.umich.edu/stats/phd-students/ProspectiveGraduateStudents/graduate-degree-application.html

Statistics Ph.D. Application | U-M LSA Department of Statistics

 

GRE x

TOEFL 84

 

 

 

 

1. Yang Chen

Assistant Professor of Statistics,

https://yangchenfunstatistics.github.io/yangchen.github.io//

About me

 

 

Research Interests

My research interests are statistical methodology and computational algorithms motivated by scientific applications. My past and ongoing projects are focused on the following topics:

• Bayesian modeling and computation
• Hidden Markov models and general finite mixture models
• Applied statistics and machine learning in astronomy and space science
• Statistical methods for large-scale imaging data
• Spatial-temporal data analysis
• Uncertainty quantification for complex models

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2. Tailen Hsing

https://dept.stat.lsa.umich.edu/~thsing/

University of Michigan Statistics Department - Tailen Hsing

 

Research Interests

My research interests include extreme value theory, limit theory under dependence, functional data and spatial data. Currently, my focus is on the last two areas. For functional data, I am considering the estimation of high-dimensional parameters, such as the cross covariance, that characterize dependence between functional variables. I am also working on a book on the foundation of functional data that will likely be published in 2014. For spatial data, I am interested in the inference of spatial processes that are locally stationary, especially in the context of densely observed data.

 

https://arxiv.org/abs/2310.14419

An RKHS Approach for Variable Selection in High-dimensional Functional Linear Models

 

 

 

3. Liza Levina

https://sites.google.com/umich.edu/elevina/home

Liza Levina

 

Research Interests

She is well known for her work on high-dimensional inference and statistical network analysis. She is a recipient of the ASA Noether Young Scholar Award, a fellow of the ASA and the IMS, and a Web of Science Highly Cited Researcher. She was an invited speaker at the 2018 International Congress of Mathematicians and a 2019 IMS Medallion lecturer.

 

 

4. Ambuj Tewari

 

https://www.ambujtewari.com/

Home Page of Ambuj Tewari

 

Dr. Tewari's primary area of research is machine learning. He likes working on the mathematical foundations of machine learning algorithms as well as finding new application areas for machine learning. Topics he has worked on recently include statistical learning theory, online learning, bandit problems, reinforcement learning, high-dimensional statistics, and optimization for large-scale learning

 

5. Stilian A. Stoev

 

https://sites.lsa.umich.edu/sstoev/

Stilian A. Stoev – Professor, Department of Statistics

 

I am interested in stochastic processes and time series analysis. In particular, processes with infinite variance, stable distributions. I study their stochastic and statistical properties and develop methods for their computer simulation.

I am also interested in various aspects of the long-range dependence phenomenon. Its modeling in the finite and infinite variance situations and its statistical study. In that context, I have done some work on the estimation of the Hurst long-range dependence parameter by using wavelets.

 

6.Jeffrey Regier

 

 

https://regier.stat.lsa.umich.edu/

Jeffrey Regier

 

My research group studies Bayesian methods and applies them to problems in astronomy and bioinformatics. Graphical models, variational inference, and deep learning are some of the statistical tools we use.