Statistics Faculty Research Interests
The statistics faculty research interests cover a wide range of topics in both statistics and probability.
Stochastic analysis, Stochastic partial differential equations, Probabilistic methods for PDEs in finite and infinite dimension
Dynamical Systems, Averaging Theory, Transport in Random Media
Mark I. Freidlin
Stochastic Processes and Their Applications, Random Perturbations of Dynamical Systems, Probabilistic Methods in P.D.E.'s and Analysis.
Characterization Problems, Estimation Theory, Semi-Parametric Models
Time series, Semiparametric inference, Generalized Linear Models, Statistics of space-time observations, Spatial prediction, Zero-crossings
Stochastic processes and applications, Branching processes, Asymptotic analysis of probabilistic models
Econometric Theory, Bayesian asymptotics
Survival Analysis and its Applications in Biomedical Research, Linear models, Likelihood methods, Resampling Methods, Analysis of Censored Data.
Survival Empirical Process Theory, Semiparametric Models, Complex Sampling, Bootstrap
Sample Survey Theory, Statistical Inference for Stochastic Processes, Survival Analysis
Nonparametric and Robust Statistics, Categorical Data Analysis
High-dimensional statistical inference, Nonparametric Statistics, Sparse/Low-rank matrix problems
Grace Yang, Professor Emerita
Stochastic Modelling with Application to Biological and Physical Sciences, Asymptotic Theory in Statistics, Survival Analysis