Expertise

Our consulting and supporting faculty have extensive research experience with Bayesian methodology, including hierarchical modeling and MCMC.

• Biostatistical Modeling
• Bootstrap and Pseudoreplication Methods of Uncertainty Estimation
• Methods of High-dimensional Statistical Inference
• Network and Graphical Inference
• Small Area Estimation
• Statistical Computing
• Statistical Machine-Learning Methods
• Stochastic Process Modeling
• Survey Sampling Design and Inference
• Survival Analysis
• Time Series

Training

STAT760/AMSC760 Practicum course in statistical consulting to run Spring 2026, with Prof. Eric Slud as instructor.