Department · vaiu-sci-stat-*
Theory and practice of learning from data — inference, probabilistic modeling, and modern statistical machine learning.
Research areas
Faculty directory
Department chair
Statistical Inference
Estimation & hypothesis testing, asymptotic theory, and high-dimensional statistics.
Professor
Bayesian Statistics
Hierarchical models, MCMC & variational inference, and probabilistic programming.
Professor
Statistical Machine Learning
Supervised & unsupervised learning, nonparametric methods, and deep learning theory.
Professor
Biostatistics
Clinical trial design, survival analysis, and statistical genetics.
Professor
Time Series & Econometrics
Time-series modeling, forecasting, and causal inference.
Professor
Computational Statistics
Resampling & bootstrap, Monte Carlo methods, and statistical computing.
