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Statistics Faculty listing
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Professor Tailen Hsing, Chair
Academics and Requirements
Professors
Richard D. Gonzalez (Psychology), Research methodology; mathematical psychology; statistics; judgment and decision making; psychology and law; group dynamics; social cognition
Xuming He (Harry Clyde Carver Collegiate Professor of Statistics), Theory and methodology in quantile regression, semiparametric models, robust statistics, and dimension reduction; Interdisciplinary research in biosciences, climate studies, dysphagia research, and social-economic studies
Alfred Hero (EECS) (R. Jamison and Betty Williams Professor of Engineering), Statistical signal processing, machine learning, analysis of high dimensional data, bioinformatics
Tailen Hsing, Extreme value theory, functional data analysis, time series and spatial statistics
James Joyce (Philosophy) (Cooper Harold Langford Collegiate Professor of Philosophy), decision theory, game theory, philosophical aspects of probability and statistics, and philosophy of science
Robert W. Keener, Sequential design, limit theorems, boundary crossing problems
Roderick J. Little (Biostatistics), Analysis of data with missing values, survey inference, biostatistics, psychiatric statistics
Walter Mebane, American government and political methodology
George Michailidis, Analysis of high dimensional data, semi-supervised learning, network tomography, inverse problems on a graph, , bioinformatics, data visualization
Susan A. Murphy (Herbert E. Robbins Collegiate Professor of Statistics), Individually tailored treatments, mult-stage decisions, causal inference high dimensional modeling
Vijayan Nair (Statistics and IOE) (Donald A. Darling Collegiate Professor of Statistics) Engineering Statistics, Reliability and Risk Analysis, Design and Analysis of Industrial Experiments, Quality Improvement Methods, Process Control, Neuro-informatics, Communication and Computer Networks, Behavioral Intervention Studies, and Spatial Modeling
Ed Rothman, Biological and legal applications, nonparametric regression, spatial statistics, statistical process control, the philosophy of W. Edwards Deming
Kerby Shedden, Analysis of biomedical screening experiments; Statistical computing; Image analysis; Applications to chemical biology, cancer, genetics
Naisyin Wang, Non- and semiparametric methods, measurement error models, longitudinal and functional data analysis, Bioinformatics, biological and medical applications
Yu Xie (Sociology) (Otis Dudley Duncan Distinguished University Professor of Sociology), Social Stratification, Methods and Statistics, Demography, Sociology of Scienc, Categorical Data Analysis, Causal Inference
Ji Zhu, Statistical machine learning and data mining; high dimensional data analysis; Statistical network analysis; Statistics in finance and marketing; Computational biology
Associate Professors
Yves Atchade, Monte Carlo methods, Limit Theorems for Markov Chains and adaptive Markov chains, causal inference, social networks
Moulinath Banerjee, Likelihood based methods, non-regular asymptotics, shape restricted estimation, nonparametric methods and their applications
Ben Hansen, Causal inference in comparative studies: matching and propensity scores; sensitivity analysis; randomization-based inference
Edward Ionides, inference for stochastic processes, with applications to cell motion, ecology, epidemiology and neuroscience
Elizaveta Levina, high-dimensional data, statistical inference for networks, statistical machine learning, applications to computer vision and spectroscopy
Clayton D. Scott (Electrical Engineering and Computer Science), Machine learning theory, methods, and applications
Stilian Stoev, Probability theory and statistical inference for time series and stochastic processes; long-range dependence, heavy tails, and extreme values; Applications to computer network and environmental data
Assistant Professors
Long Nguyen, Machine learning; variational inference; nonparametric Bayesian methods for functional and spatial data; applications to statistical signal processing and ecological modeling
Shuheng Zhou, Statistical learning theory/algorithms, high-dimensional large-scale modeling, differential privacy and its statistical implications, convex optimization, approximation and randomized algorithms, network and combinatorial optimization
Senior Lecturer
Brenda Gunderson, Statistical education, applied statistics, multivariate statistics
Professor Emeritus
Bruce Hill, Bayesian inference, foundations, linear models
Michael Woodroofe, Sequential analysis and design, limit theorems, renewal theory, inference for restricted parameters; applications to physics and astronomy