Multi operator-stable random measures and fields
Dustin Kremer, Hans-Peter Scheffler

TL;DR
This paper introduces vector-valued multi operator-stable random measures and fields, providing their construction, properties, and a moving-average representation that generalizes operator-stability and self-similarity in stochastic processes.
Contribution
It develops the theory of multi operator-stable measures and fields, including their construction, function space characterization, and a novel moving-average representation.
Findings
Constructed vector-valued multi operator-stable random measures.
Characterized the space of integrable functions via a quasi-norm.
Presented a multi operator-stable moving-average representation of a random field.
Abstract
In this paper we construct vector-valued multi operator-stable random measures that behave locally like operator-stable random measures. The space of integrable functions is characterized in terms of a certain quasi-norm. Moreover, a multi operator- stable moving-average representation of a random field is presented which behaves locally like an operator-stable random field which is also operator-self-similar.
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Taxonomy
TopicsStochastic processes and financial applications · Advanced Mathematical Modeling in Engineering · Mathematical Approximation and Integration
