Advances in Applied Probability contains reviews and expository papers in applied probability, as well as mathematical and scientific papers of interest to probabilists, letters to the editor and a section devoted to stochastic geometry and statistical applications.
Limit theorems for long-memory stochastic volatility models with infinite variance: partial sums and sample covariances
RAFAŁ KULIK, et al. (2012)
Bounding basic characteristics of spatial epidemics with a new percolation model
Ronald Meester, et al. (2011)
