The Probability Group is a diverse and active research group with interests in many areas of probability including stochastic processes and applications, population and evolutionary models, stochastic analysis, asymptotics, approximations to models, limit theorems, estimation and nonparametric methods.


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
Donald Dawson Stochastic Processes, Stochastic Models of Evolving Populations
Minyi Huang
Mohamedou Ould Haye Stochastic Processes, Time Series Analysis, Limit Theorems, Estimation, Long Memory, Forecasting, Dependence
Gennady Shaikhet Stochastic Processes and Applications, Approximations and Control of Large Scale Service Systems, Queueing Networks, Financial Engineering
Barbara Szyskowicz
Yiqiang Zhao Applied Probability, Tail Asymptotics in Queues and Queueing Networks, Stochastic Modelling and Performance for Aelf-managed Networks, Queueing Theory, Load Balancing and Control, Mean-field Interation Modeling for Networks