Stationarity of multivariate particle systems
Ilya Molchanov, Kaspar Stucki

TL;DR
This paper investigates the conditions under which multivariate particle systems remain stationary over time, providing characterizations especially for multivariate Brown-Resnick processes, enhancing understanding of their temporal behavior.
Contribution
It offers new conditions and a full characterization of stationarity for multivariate particle systems, including Brown-Resnick processes.
Findings
Conditions for stationarity in multivariate particle systems
Full characterization of stationary multivariate Brown-Resnick processes
Enhanced understanding of temporal properties of these processes
Abstract
A particle system is a family of i.i.d. stochastic processes with values translated by Poisson points. We obtain conditions that ensure the stationarity in time of the particle system in R^d and in some cases provide a full characterisation of the stationarity property. In particular, a full characterisation of stationary multivariate Brown-Resnick processes is given.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPoint processes and geometric inequalities · Random Matrices and Applications · Stochastic processes and statistical mechanics
