The elephant random walk in the triangular array setting
arXiv:2403.02881 · doi:10.1017/jpr.2024.106
Abstract
Gut and Stadmüller (2021, 2022) initiated the study of the elephant random walk with limited memory. Aguech and El Machkouri (2024) published a paper in which they discuss an extension of results by Gut and Stadtmüller (2022) for an "increasing memory" version of the elephant random walk without stops. Here we present a formal definition of the process which has been hinted at Eq. (2.2) in Gut and Stadtmüller (2022). This definition is based on the triangular array setting. We give a positive answer to the open problem in Gut and Stadtmüller (2022) for the elephant random walk, possibly with stops. We also obtain the CLT for the supercritical case of this model.
13 pages
References in corpus (8)
- Elephants can always remember: Exact long-range memory effects in a non-Markovian random walk
- Elephant Random Walks and their connection to Pólya-type urns
- A martingale approach for the elephant random walk
- Memory-induced anomalous dynamics: emergence of diffusion, subdiffusion, and superdiffusion from a single random walk model
- Central Limit Theorem for the Elephant Random Walk
- A strong invariance principle for the elephant random walk
- Gaussian fluctuation for superdiffusive elephant random walks
- On the elephant random walk with stops playing hide and seek with the Mittag-Leffler distribution