Emeritus
Operations Research: Discrete-event simulation
Monte Carlo sampling
Design and analysis of large-scale simulation experiments
A new approach to nonlinear filtering and prediction theory, Stochastic differential equations, Stochastic integrals and infinite dimensional calculus, The time domain and spectral theory of two parameter stationary random fields
David Rubin
Professor, Kenan-Flager Business School
McColl 4534 (Hanes 135)
work(919) 962-3151 (Hanes: (919) 843-6023) (phone)
david_rubin@unc.edu
Operations Research (Discrete optimization)
Statistics
Applied probability: queues, storage systems (reservoirs), renewal processes, and related matters; Mathematica Statistics: Characteristic functions and central limit theorems and with renewal processes and the related cumulative processes.
Queuing models
Theoretical and Computational Optimization
