Research

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

Gade: Characterizing nonlinear dependence in temporal and spatial processes, statistical machine learning, representation learning, and causal inference (specifically Granger causality)

Hepler: Spatial statistics, Bayesian modeling, Environmental Statistics, Spatio-temporal Epidemiology

Huang: Digital phenotyping, Causal inference, Clinical trials

Lotspeich: Biostatistics, Censored covariates, Measurement error, Missing data, Two-phase designs

Yengulalp: Topology and set theory