Robust estimation and risk minimisation in stochastic processes represent a central domain in modern statistical research. These methods are designed to ensure that statistical predictions remain ...

Random walks constitute one of the most fundamental models in the study of stochastic processes, representing systems that evolve in a sequence of random steps. Their applications range from modelling ...

This is a preview. Log in through your library . Abstract A simple and rather general model of the precipitation process is reviewed and some applications and comparisons are made using data from ...

The use of properties of a Poisson process to study the randomness of stars is traced back to a 1767 paper. The process was used and rediscovered many times, and we mention some of the early ...