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.
Valdivino V. Junior, et al. (2011)
Neeraj Misra, et al. (2011)
Bernhard C. Geiger, et al. (2014)
Inference for a nonstationary self-exciting point process with an application in ultra-high frequency financial data modeling
Feng Chen, et al. (2013)
Ao Chen, et al. (2011)