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# Statistics Faculty listing

439 West Hall | 1085 South University Avenue | (734) 763-3519 (phone) | (734) 763-4676 (fax) | www.stat.lsa.umich.edu

Professor Tailen Hsing, Chair (7/1/10-6/30/15)

### Academics and Requirements

*Professors*

Richard D. Gonzalez (Psychology),

Research methodology; mathematical psychology; statistics; judgment and decision making; psychology and law; group dynamics; social cognitionXuming 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 studiesAlfred Hero (EECS) (R. Jamison and Betty Williams Professor of Engineering),

Statistical signal processing, machine learning, analysis of high dimensional data, bioinformaticsTailen Hsing,

Extreme value theory, functional data analysis, time series and spatial statisticsJames Joyce (Philosophy) (Cooper Harold Langford Collegiate Professor of Philosophy),

decision theory, game theory, philosophical aspects of probability and statistics, and philosophy of scienceRobert W. Keener,

Sequential design, limit theorems, boundary crossing problemsRoderick J. Little (Biostatistics) (Richard D. Remington Distinguished University Professor of Biostatistics),

Analysis of data with missing values, survey inference, biostatistics, psychiatric statisticsWalter Mebane,

American government and political methodologyGeorge Michailidis,

Analysis of high dimensional data, semi-supervised learning, network tomography, inverse problems on a graph, , bioinformatics, data visualizationSusan A. Murphy (Herbert E. Robbins Collegiate Professor of Statistics),

Individually tailored treatments, mult-stage decisions, causal inference high dimensional modelingVijayan 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 ModelingEd Rothman,

Biological and legal applications, nonparametric regression, spatial statistics, statistical process control, the philosophy of W. Edwards DemingKerby Shedden,

Analysis of biomedical screening experiments; Statistical computing; Image analysis; Applications to chemical biology, cancer, geneticsNaisyin Wang,

Non- and semiparametric methods, measurement error models, longitudinal and functional data analysis, Bioinformatics, biological and medical applicationsYu Xie (Sociology) (Otis Dudley Duncan Distinguished University Professor of Sociology),

Social Stratification, Methods and Statistics, Demography, Sociology of Scienc, Categorical Data Analysis, Causal InferenceJi 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 networksMoulinath Banerjee,

Likelihood based methods, non-regular asymptotics, shape restricted estimation, nonparametric methods and their applicationsBen Hansen,

Causal inference in comparative studies: matching and propensity scores; sensitivity analysis; randomization-based inferenceEdward Ionides,

inference for stochastic processes, with applications to cell motion, ecology, epidemiology and neuroscienceElizaveta Levina,

high-dimensional data, statistical inference for networks, statistical machine learning, applications to computer vision and spectroscopyClayton D. Scott (Electrical Engineering and Computer Science),

Machine learning theory, methods, and applicationsStilian 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 modelingShuheng 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 modelsMichael Woodroofe,

Sequential analysis and design, limit theorems, renewal theory, inference for restricted parameters; applications to physics and astronomy