Limit theorems for strongly mixing stationary random measures

AbstractCharacterization theorems are obtained for the possible limits in distribution of a family of stationary random measures {ζT} satisfying a strong mixing condition, with necessary and sufficient conditions for convergence. The application of these results to ‘exceedance random measures’ is shown to provide a unifying viewpoint for obtaining results in extremal theory for stationary processes