Linear Fractional Stable Sheets: wavelet expansion and sample path properties
Antoine Ayache (LPP), Fran\c{c}ois Roueff (LTCI), Yimin Xiao

TL;DR
This paper provides a detailed wavelet series representation of linear fractional stable sheets, analyzing their sample path properties, continuity, and fractal dimensions, thereby advancing understanding of their geometric and probabilistic behavior.
Contribution
It introduces a wavelet expansion for linear fractional stable sheets and derives their path regularity and fractal dimensions, extending prior theoretical results.
Findings
Wavelet series representation of stable sheets
Established modulus of continuity for sample paths
Calculated Hausdorff dimensions of range and graph
Abstract
In this paper we give a detailed description of the random wavelet series representation of real-valued linear fractional stable sheet introduced in Ayache, Roueff and Xiao (2007). By using this representation, in the case where the sample paths are continuous, an anisotropic uniform and quasi-optimal modulus of continuity of these paths is obtained as well as an upper bound for their behavior at infinity and around the coordinate axes. The Hausdorff dimensions of the range and graph of these stable random fields are then derived.
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Taxonomy
TopicsImage and Signal Denoising Methods · Mathematical Dynamics and Fractals · Financial Risk and Volatility Modeling
