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Record statistics for a discrete-time random walk with correlated steps

Published 30 May 2019 in cond-mat.stat-mech and math.PR | (1905.13013v2)

Abstract: The characterization of record events is considered for a discrete-time random walk model with long-term memory arising from correlations between successive steps. An important feature is that the correlations are strong enough to give rise to super-diffusivity and transience. Various quantities related to record statistics are calculated exactly, highlighting important differences in behaviour from the simple random walk with independent steps.

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