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Barbara Martinucci

Researcher at University of Salerno

Publications -  67
Citations -  493

Barbara Martinucci is an academic researcher from University of Salerno. The author has contributed to research in topics: Telegraph process & Stochastic process. The author has an hindex of 11, co-authored 63 publications receiving 399 citations. Previous affiliations of Barbara Martinucci include University of Naples Federico II.

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Analysis of random walks on a hexagonal lattice

TL;DR: In this article, the authors consider a discrete-time random walk on the nodes of an unbounded hexagonal lattice and determine the probability generating functions, the transition probabilities and the relevant moments.
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Random walks on graphene: generating functions, state probabilities and asymptotic behavior

TL;DR: In this article, a discrete-time random walk on the nodes of a graphene-like graph is considered and the convergence of the stochastic process to a 2-dimensional Brownian motion is discussed.
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Random time-changes and asymptotic results for a class of continuous-time Markov chains on integers with alternating rates

TL;DR: In this article, the authors considered continuous-time Markov chains on integers with alternating rates and gave explicit formulas for probability generating functions, and also for means, variances and state probabilities of the random variables of the process.
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A review on symmetry properties of birth-death processes

TL;DR: In this article, the necessary and sufficient conditions on the transition rates such that the transition probabilities satisfy a spatial symmetry relation were considered for truncated birth-death processes with two absorbing or two reflecting endpoints, leading to simple expressions for first-passage-time densities and avoiding transition probabilities.
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Asymptotic Results for the Absorption Time of Telegraph Processes with Elastic Boundary at the Origin

TL;DR: In this paper, Crescenzo et al. studied the asymptotic behavior of the absorption time at the origin with respect to two different scalings: $x\to \infty $676 in the first case; $mu \to \INfty $672 in the second case.