Public profile
Research areas
Probabilistic image analysis, machine learning, variable selection, functional data analysis, nonparametric Bayes, quantile regression, neuroscience, materials informatics
Statistics
Associate Chair
Noah Harding Associate Professor of Statistics
PhD Advisor
Member, Ken Kennedy Institute
Average rating
3.5
16 temporary mock ratings
Difficulty
3.0
course-linked average
Courses
5
in seeded sections
Probabilistic image analysis, machine learning, variable selection, functional data analysis, nonparametric Bayes, quantile regression, neuroscience, materials informatics
STAT 007
Research conducted by visiting student scholars. Repeatable for Credit.
STAT 425
This course is an introduction to Bayesian inference, with emphasis on concepts and methods for analyzing data. We will consider a variety of models, including MCMC algorithms and methods for linear regression and hierarchical models. Computational methods will be emphasized. Recommended Prerequisite(s): STAT 411 or CAAM 335 or MATH 355.
STAT 490
This course provides 1-3 credit hours of credit for STAT majors who wish to pursue a research project of mutual interest to the student and a faculty member in a selected area of statistical specialization. The student will conduct independent research under the faculty member’s direction. Repeatable for Credit.
STAT 590
Research course for graduate level research in probability and statistics. This course provides 1-15 hours of credit for students who wish to pursue a statistical research project of mutual interest to the student and a faculty member. The student will conduct independent research under the faculty member’s direction. Repeatable for Credit. Repeatable for Credit.
STAT 800
Thesis for Graduate Students. Repeatable for credit. Repeatable for Credit.