Dr. Cox primary research interests are nonparametric function estimation, functional data analysis, stochastic processes, machine learning, Bayesian methods, statistical computing, and the foundations and applications of statistical inferenence. He has collaborated with investigators from such disciplines as electrical engineering, neurophysiology, oncology, and nuclear fusion research. Professor Cox has also done theoretical work in nonparametric function estimation, statistical approximation theory, and Bayesian methods.
WEBSITE(S)| Dr. Cox's website
Research Areas
Nonparametric Function Estimation, Functional Data Analysis, Spatial Statistics, Time Series Analysis, Machine Learning, Computational Statistics, Monte Carlo methods, Environmetrics, Bayesian Methods, Applied Statistics, Theoretical Statistics, Probability Theory.
Education
Ph.D. in Mathematics, University of Washington
M.S. in Mathematics, University of Denver
B.A. in Mathematics, University of Colorado
Advisory Role
2017-19 Chair, Graduate Review Committee
2017-18 Undergraduate Advisor
Teaching Areas
Fundamentals of Statistical Inference
Generalized Linear Models and Categorical Data Analysis
Statistical Machine Learning
Societies & Organizations
Fellow, American Statistical Association (ASA)
Honors & Awards
2008 Rice Presidential Mentoring Award