Cluster Random Fields and Random-Shift Representations
arXiv:2206.15064 · doi:10.1007/s10959-025-01420-1
Abstract
Cluster random fields (CRFs) play a crucial role in the study of extremes of stationary regularly varying random fields (RFs). In particular, they appear in the Rosiński representation of max-stable and -stable RFs. In this contribution we introduce CRFs in an abstract setting proving that they are crucial for the construction of shift-generated classes of -homogeneous RFs. Further, we investigate the relations between CRFs, tail RFs} and spectral tail RFs. Applications discussed in this contribution include new representations of extremal functional indices and purely dissipative max-stable RFs.
Accepted J. Th. Probability
References in corpus (6)
- Stationary max-stable fields associated to negative definite functions
- Extreme value theory, ergodic theory and the boundary between short memory and long memory for stationary stable processes
- The tail process and tail measure of continuous time regularly varying stochastic processes
- Tail Measures and Regular Variation
- On the speed of convergence of discrete Pickands constants to continuous ones
- Shift-invariant homogeneous classes of random fields