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Document type:
Zeitungsartikel
Author(s):
Pham, V.S. and Chong, C.
Title:
Volterra-type Ornstein-Uhlenbeck processes in space and time
Abstract:
We propose a novel class of tempo-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 d...     »
Keywords:
ambit process, càdlàg in space and time, Lévy basis, long memory, path properties, second-order structure, space–time modeling, stationary solution, stochastic Volterra equation, Volterra-type Ornstein-Uhlenbeck process
Journal title:
Stochastic Processes and their Applications
Year:
2017
Year / month:
2017-11
Reviewed:
ja
Language:
en
WWW:
http://www.sciencedirect.com/science/article/pii/S0304414917302727
Status:
Postprint / reviewed
TUM Institution:
Lehrstuhl für Mathematische Statistik
Format:
Text
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