Journal of Applied Probability provides a forum for original research and reviews in applied probability. Its wide audience includes leading researchers in the many fields where stochastic models are used, including operations research, telecommunications, computer engineering, epidemiology, financial mathematics, information systems and traffic management.
Andreas Löpker, et al. (2011)
Neeraj Misra, et al. (2011)
Efficient simulation of large deviation events for sums of random vectors using saddle-point representations
Ankush Agarwal, et al. (2013)
Xiuying Feng, et al. (2013)