Throughout, we will be applying some of the theoretic results to the analysis of queues. Students are expected to have some background in probability (such as IEMS 202) and stochastic processes; no ...

A second course in stochastic processes and applications to insurance. Markov chains (discrete and continuous time), processes with jumps; Brownian motion and diffusions; Martingales; stochastic ...

A stochastic correlation approach using copula functions offers a flexible alternative. By allowing correlations to vary ...

Statistics, and real analysis at the undergraduate engineering or mathematics level; graduate level probability and stochastic processes (IEMS 460-1); computer programming in Python; graduate standing ...