Volterra-type Ornstein–Uhlenbeck processes in space and time

Viet Son Pham*, Carsten Chong

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

4 Citations (Scopus)

Abstract

We propose a novel class of temporo-spatial Ornstein–Uhlenbeck processes as solutions to Lévy-driven Volterra equations with additive noise and multiplicative drift. After formulating conditions for the existence and uniqueness of solutions, we derive an explicit solution formula and discuss distributional properties such as stationarity, second-order structure and short versus long memory. Furthermore, we analyze in detail the path properties of the solution process. In particular, we introduce different notions of càdlàg paths in space and time and establish conditions for the existence of versions with these regularity properties. The theoretical results are accompanied by illustrative examples.

Original languageEnglish
Pages (from-to)3082-3117
Number of pages36
JournalStochastic Processes and their Applications
Volume128
Issue number9
DOIs
Publication statusPublished - Sept 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 Elsevier B.V.

Keywords

  • Ambit process
  • Càdlàg in space and time
  • Long memory
  • Lévy basis
  • Path properties
  • Second-order structure
  • Space–time modeling
  • Stationary solution
  • Stochastic Volterra equation
  • Volterra-type Ornstein–Uhlenbeck process

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