Statistics Faculty Research Interests

The statistics faculty research interests cover a wide range of topics in both statistics and probability. 

Sandra Cerrai

Stochastic analysis, Stochastic partial differential equations, Probabilistic methods for PDEs in finite and infinite dimension

Dmitry Dolgopyat

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

Abram Kagan

Characterization Problems, Estimation Theory, Semi-Parametric Models

Benjamin Kedem

Time series, Semiparametric inference, Generalized Linear Models, Statistics of space-time observations, Spatial prediction, Zero-crossings

Leonid Koralov

Stochastic processes and applications, Branching processes, Asymptotic analysis of probabilistic models

Yuan Liao

Econometric Theory, Bayesian asymptotics

Jian-Jian Ren

Survival Analysis and its Applications in Biomedical Research, Linear models, Likelihood methods, Resampling Methods, Analysis of Censored Data

Takumi Saegusa

Survival Empirical Process Theory, Semiparametric Models, Complex Sampling, Bootstrap

Eric V. Slud

Sample Survey Theory, Statistical Inference for Stochastic Processes, Survival Analysis

Paul J. Smith

Nonparametric and Robust Statistics, Categorical Data Analysis

Tingni Sun

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