Faculty Research Interests Bai, Ray (Shuyang) Probability: Limit Theorems, Long-Range Dependence, Heavy Tails.Statistics: Time Series, Extreme Value Analysis, Causal Inference. Billard, Lynne Symbolic Data, Epidemic Theory , AIDS , Time Series , Sequential Analysis Datta, Gauri Small Area Estimation , Survey Sampling , Baysian Analysis , Bayes-Frequentist Interface , Likelihood Inference , Multivariate Analysis , Asymptotics , Linear Models , Development of Non-subjective Priors Gill, Mandev Bayesian inference, computational statistics, infectious diseases, phylodynamics Hall, Daniel Generalized Linear and Nonlinear Regression Models, Analysis of Clustered Data, Mixture Models Ji, Pengsheng Social Networks, Machine Learning, Rare and Weak Signals in Big Data, Quantitative Evaluation of Academic Research, Variable/Feature Selection Ke, Yuan High-dimensional Statistics, Robust Statistics, Time Series Analysis, Statistical Machine Learning. Liu, Liang My research interests include phylogenetics, modeling biological data, statistical analysis of molecular data, and parallel computing. I am particularly interested in reconstructing species phylogenies from multilocus sequences., I and my colleagues have developed several phylogenetic methods for estimating the evolutionary history of species. Liu, Rongjie (RJ) Bayesian Statistics, Machine Learning/ Deep Learning/ Reinforcement Learning, Image Data Analysis, Causal Inference, Applications in Neuroimage and Engineering Ma, Ping Bioinformatics, Functional Data Analysis, Geophysics Mandal, Abhyuday Design of Experiments, Applied Statistics, Optimization and Genetic Algorithms Ocloo, Isaac High-dimensional data analysis, Machine learning Powell, Joe Spatial Statistics, Remotely-Sensed Data, and Precision Agriculture Reeves, Jaxk Statistical Consulting, Phlylogenetics, Climate Modeling Schliekelman, Paul Gene Mapping of Complex Traits, Mathematical Models of Evolution, Statistical Approaches in Proteomics Seymour, Lynne Properties and applications of seasonal time series, Applying image models to social networks, Properties of the maximum pseudo-likelihood estimate for Markov random fields Sriram, T.N. Sequential estimation, branching processes , bootstrap , adaptive designs , linear and nonlinear time series Werner, Mark Statistics Education, Robust Statistics Yang, Yang Developing statistical methods for transmission dynamics of infectious diseases Zhang, Ruizhi Change-point detection, Sequential analysis, Robust statistics, High-dimensional statistical inference, and Data Privacy Zhang, Ting Econometrics and Time Series Analysis, with specifications on high-dimensional time series; kernel-based nonparametric and semiparametric learning; nonstationary time series; phenomenon of serial tail dependence; and self-normalized automation Zhong, Wenxuan Bioinformatics, Big Data Analysis
