Limit theorems for a minimal random walk model
Abstract
We study the minimal random walk introduced by Kumar, Harbola and Lindenberg. It is a random process on \{0, 1, \ldots \}with unbounded memory which exhibits subdiffusive, diffusive and superdiffusive regimes. We prove the law of large numbers for the whole parameter set. Then we prove the central limit theorem and the law of the iterated logarithm for the minimal random walk under diffusive and marginally superdiffusive behaviors. More...
Paper Details
Title
Limit theorems for a minimal random walk model
Published Date
Aug 24, 2019
Journal
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