The Faculty & Their Research Interests
Department Chair: Doug Wolfe
Vice Chair: Bill Notz
Graduate Studies Chair: Elizabeth Stasny
To contact the faculty please see our phone/e-mail list.
MARK BERLINER
Bayesian and robust Bayesian theory and applications
MICHAEL BROWNE
Multivariate analysis
CATHERINE A. CALDER
Spatial and spatial temporal statistics; Bayesian methodology and
computation; applications in the environmental sciences
PETER F. CRAIGMILE
Time series analysis, wavelets, spectral analysis, long memory
processes, geostatistical methods, and applications
NOEL A. CRESSIE
Theory and application of spatial stochastic modeling, Bayes and
empirical Bayes methods
DOUGLAS E. CRITCHLOW
Analysis of ranking data, statistical inference for phylogenetic trees
ANGELA M. DEAN
Design of multifactor experiments and screening
PREM K. GOEL
Bayesian decision theory, file merging methodology/data association
CHRIS HANS
Bayesian methodology and associated computation; model uncertainty
and averaging
RADU HERBEI
Statistical approaches to inverse problems, computational methods,
classification theory.
JASON C. HSU
Multiple comparisons and statistical computing
ELOISE KAIZAR
Meta-analysis, Bayesian hierarchical modeling, analysis of sample
surveys
LAURA KUBATKO
Phylogenetic inference, linkage and QTL analysis, microarray data analysis
YOONKYUNG LEE
Smoothing, reproducing kernel Hilbert space methods, classification,
and statistical learning
SHILI LIN
Statistical genetics and Monte Carlo methods
DESHENG LIU
Spatial statistics, machine learning, remote sensing, geographic
information systems, and their applications in geography and
environmental science
STEVEN N. MACEACHERN
Nonparametric and semiparametric Bayesian models
H. N. NAGARAJA
Order and record statistics, distribution theory, and applied
probability models
WILLIAM NOTZ
Optimal design of experiments and computer experiments
OMER OZTURK
Robust estimation, testing and nonparametric inference.
DENNIS K. PEARL
Statistical phylogenetics, analysis of cancer biomarker studies,
and quantitative education research
MARIO PERUGGIA
Iterated function systems, computational and graphical methods for
statistical analysis, and Bayesian inference
THOMAS J. SANTNER
Computer experiments (with special emphasis on statistical
applications in orthopedics), Environmental statistics
TAO SHI
Statistical properties of machine learning algorithms, Statistical
methodology and computation on massive data sets, and applications
of statistics in environmental science and geo-science
ELIZABETH A. STASNY
Modeling missing data, particularly in categorical data from
large-scale sample surveys
JOSEPH S. VERDUCCI
Modeling random objects, such as random graphs and random pairs
of permutations
DOUGLAS A. WOLFE
General development of nonparametric estimation and testing
methodology
XINYI XU
Bayesian forecasting and modeling, decision theory, informations
theory and applications
Faculty with Zero Salary Joint Appointments
Greg Allenby, College of Business
Amy K. Ferketich, School of Public Health
Mei-Ling Lee, School of Public Health
Stanley Lemeshow, School of Public Health
Bo Lu, School of Public Health
Melvin Moeschberger, School of Public Health
Clark A. Mount-Campbell, Industrial Welding & Systems Engineering
Lei Shen, School of Public Health
Faculty Emeriti
Saul Blumenthal, Ph.D., Cornell, 1962
Jean D. Powers, Ph.D., Ohio State, 1968
Jagdish S. Rustagi, Ph.D., Stanford, 1956
Ramesh C. Srivastava, Ph.D., Michigan State, 1965
D. Ransom Whitney, Ph.D., Ohio State, 1948
Thomas A. Willke, Ph.D., Ohio State, 1960
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