On Lamperti transformation and characterisations of discrete random fields
Marko Voutilainen, Lauri Viitasaari, Pauliina Ilmonen

TL;DR
This paper explores the relationships between stationary discrete fields, increment fields, and self-similar fields using difference equations and Lamperti transformation, extending previous results from stationary processes.
Contribution
It generalizes recent findings by characterizing discrete stationary fields through difference equations involving self-similar and stationary increment fields.
Findings
Established connections between stationary and self-similar fields.
Extended Lamperti transformation to discrete random fields.
Provided a unified framework for different classes of discrete fields.
Abstract
In this article we characterise discrete time stationary fields by difference equations involving stationary increment fields and self-similar fields. This gives connections between stationary fields, stationary increment fields and, through Lamperti transformation, self-similar fields. Our contribution is a natural generalisation of recently proved results covering the case of stationary processes.
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Taxonomy
TopicsStochastic processes and financial applications · Mathematical Dynamics and Fractals
