Large deviations for local time fractional Brownian motion and applications
Mark M. Meerschaert, Erkan Nane, Yimin Xiao

TL;DR
This paper establishes large deviation principles for the non-Gaussian, self-similar local time fractional Brownian motion, providing insights into its regularity and asymptotic behaviors.
Contribution
It introduces large deviation results for the process Z^H, a novel non-Gaussian, self-similar process constructed from fractional Brownian motion and local time of a stable Lévy process.
Findings
Large deviation principles for Z^H are proved.
Upper bounds for the modulus of continuity are derived.
Laws of the iterated logarithm for Z^H are established.
Abstract
Let be a fractional Brownian motion of Hurst index with values in , and let be the local time process at zero of a strictly stable L\'evy process of index independent of . The -stable local time fractional Brownian motion is defined by . The process is self-similar with self-similarity index and is related to the scaling limit of a continuous time random walk with heavy-tailed waiting times between jumps (\cite{coupleCTRW,limitCTRW}). However, does not have stationary increments and is non-Gaussian. In this paper we establish large deviation results for the process . As applications we derive upper bounds for the uniform modulus of continuity and the laws of the iterated logarithm for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
