The Statistics Group is a large and diversified research group with interests in survey sampling, data mining, classification, pattern recognition, nonparametric methods, curve estimation, bootstrap methods, recurrent event data, models for event processes, estimation, order restricted and robust inference, dependent data analysis, biostatistics, longitudinal data analysis, missing data analysis, order statistics and empirical Bayes estimation.

Researcher

Research Interests

Miklos Csorgo Asymptotic Laws and Methods in Probability and Statistics, Stochastic Processes, Random Walk Models, Weighted Approximations/Invariance Principles, Short and Long Memory Stochastics, Change-Point Analysis, Re-sampling Methods with Applications to Infinite Super-Populations and Big Data Sets
Song Cai Empirical Likelihood, Asymptotic Theory, Density Ratio Model, Non-and Semi-parametric Inference, Statistical Computing
Patrick Farrell Categorical Data Analysis, Biostatistics, Sampling, Applied Statistics
Shirley Mills Data Mining, Applied Statistics
Jason Nielsen Functional Data Analysis, Longitudinal Data Analysis, Mixture Models, Computational Statistics/Numerical Analysis
Mohamedou Ould Haye Stochastic Processes, Time Series Analysis, Limit Theorems, Estimation, Long Memory, Forecasting, Dependence
Chul G. Park Constrained Inference, Dependent Data Analysis, Ordered Categorical Data Analysis, Inference with Measurement error, Generation of Dependent Random Variables
J.N.K. Rao Survey Sampling, Statistical Inference
Sanjoy Singh Biostatistics, Longitudinal Data Analysis, Missing Data Analysis, Mixed Models and Robust Inference
Natalia Stepanova Nonparametric Estimation, Nonparametric Hypothesis Testing