Research Interests: Experimental design, optimal subsampling, functional data analysis, computational statistics, Gaussian process modeling, models for compositional data analysis
Research Interests: Orthogonal arrays, crossover designs, optimal design of experiments, and subdata selection methods.
May 11, 2022The George Mason College of Engineering and Computing statistics department and its Statistics Collaboration Core is working with Inova Health Care Services as part of a partnership called “iTHRIV.”
May 11, 2022Mason will host the 2022 Meeting of New Research in Statistics and Probability conference.
Research Interests: Empirical bayes, sequential analysis, high-dimensional data analysis, large scale inference.
Research Interests: Machine learning, statistics computing, heteroscedastic mixed-effects models, spatial data analysis, bayesian statistics, high dimensional data analysis.
Research Interests: Data science, causal inference, survey methods, longitudinal data, official statistics, open data, citizen science/crowdsourcing/participatory government, urban analytics, public policy.
Research Interests: Non/semi-parametric regression, methodologies for functional data, spatiotemporal data, survey sampling, high dimensional data analysis.