Enrica Pirozzi

Prof. Enrica Pirozzi

Dipartimento di Matematica e Applicazioni, University of Naples FEDERICO II, Via Cinthia, Monte S. Angelo, 80126 Napoli, Italy

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2001
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Elvira Di NardoElvira Di Nardo
Elvira Di Nardo
ANAmelia G. Nobile
Amelia G. Nobile
Enrica PirozziEnrica Pirozzi
Enrica Pirozzi
LRL. M. Ricciardi
L. M. Ricciardi
Project Euclid - mathematics and statistics online

5 May 2009 in Methodology and Computing in Applied Probability
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ABAniello Buonocore
Aniello Buonocore
LCLuigia Caputo
Luigia Caputo
Enrica PirozziEnrica Pirozzi
Enrica Pirozzi
LRLuigi M. Ricciardi
Luigi M. Ricciardi

6 September 2018 in Mathematics
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Giacomo AscioneGiacomo Ascione
Giacomo Ascione
NLNikolai Leonenko
Nikolai Leonenko
Enrica PirozziEnrica Pirozzi
Enrica Pirozzi
Starting from the definition of fractional M/M/1 queue given in the reference by Cahoy et al. in 2015 and M/M/1 queue with catastrophes given in the reference by Di Crescenzo et al. in 2003, we define and study a fractional M/M/1 queue with catastrophes. In particular, we focus our attention on the transient behaviour, in which the time-change plays a key role. We first specify the conditions for the global uniqueness of solutions of the corresponding linear fractional differential problem. Then, we provide an alternative expression for the transient distribution of the fractional M/M/1 model, the state probabilities for the fractional queue with catastrophes, the distributions of the busy period for fractional queues without and with catastrophes and, finally, the distribution of the time of the first occurrence of a catastrophe.

7 November 2019 in Methodology and Computing in Applied Probability
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Giacomo AscioneGiacomo Ascione
Giacomo Ascione
YMYuliya Mishura
Yuliya Mishura
Enrica PirozziEnrica Pirozzi
Enrica Pirozzi

1 January 2016 in Mathematical Biosciences and Engineering
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ABAniello Buonocore
Aniello Buonocore
LCLuigia Caputo
Luigia Caputo
Enrica PirozziEnrica Pirozzi
Enrica Pirozzi
Maria Francesca CarforaMaria Francesca Carfora
Maria Francesca Carfora
A model is proposed to describe the spike-frequency adaptation observed in many neuronal systems. We assume that adaptation is mainly due to a calcium-activated potassium current, and we consider two coupled stochastic differential equations for which an analytical approach combined with simulation techniques and numerical methods allow to obtain both qualitative and quantitative results about asymptotic mean firing rate, mean calcium concentration and the firing probability density. A related algorithm, based on the Hazard Rate Method, is also devised and described.