Faculty Research Interests
Beavers: Bayesian Methods, Biostatistics, Clinical Trials, epidemiology, misclassification
Berenhaut: Applied probability; discrete dynamics; networks, multi-agent systems; convergence rates; mathematical inequalities; mathematical and statistical models; difference equations; statistical methodology; matrix inequalities; analytic, probabilistic and combinatorial number theory; discrete structures
Cella: Foundations of Statistics, Imprecise Probabilities, Inferential Models
D’Agostino McGowan: Causal inference, Human-data interaction, Data Science
Dalzell: Statistics Education, Statistical Writing and Communication, Text Analysis, Bayesian Modeling, File Linking
Erhardt: Environmental Statistics, Computational Statistics, Risk Assessment, Actuarial Science
Evans: Changepoint detection, applied statistics, statistical learning, statistics education
Hepler: Spatial statistics, Bayesian modeling, Environmental Statistics, Spatio-temporal Epidemiology
Huang: Digital phenotyping, Causal inference, Clinical trials
Jadhav: Functional Data Analysis, Measurement Error, Clustering, Nonparametric Statistics, Sequencing Studies
Lotspeich: Biostatistics, Censored covariates, Measurement error, Missing data, Two-phase designs
Yengulalp: Topology and set theory