Antonio Di Crescenzo

Full Professor

Università degli Studi di Napoli Federico II

Italy

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About

Antonio Di Crescenzo is a Full Professor at Università degli Studi di Salerno, Italy. His research areas include stochastic processes, economic data modeling, and statistical analysis of complex systems. He has recently published articles focusing on topics such as lognormal diffusion processes, generalized equilibrium distributions, and the modeling of phenomena like the spread of fake news using mathematical frameworks.

Articles (20)

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Collaborators (9)

Francisco Torres-Ruiz

Full Professor

Universidad de Granada

SPAIN

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Paola Paraggio

University of Salerno

ITALY

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Jorge Navarro

Full Professor

Universidad de Murcia

SPAIN

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Alessandra Meoli

University of Salerno

ITALY

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Virginia Giorno

Full Professor

Università degli Studi di Napoli Federico II

ITALY

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Alfonso Suárez-Llorens

Full professor

Universidad de Cádiz

SPAIN

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Amelia G. Nobile

Professore Ordinario di informatica

Università degli Studi di Napoli Federico II

ITALY

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Marco Capaldo

RWTH Aachen University

GERMANY

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Serena Spina

Università degli Studi di Napoli Federico II

ITALY

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Antonio Di Crescenzo

Research Interests

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About

Articles (20)

Special lognormal diffusion processes with binomial random catastrophes and applications to economic data

Generalized equilibrium distributions

Comparisons of variances through the probabilistic mean value theorem and applications

Mean Distances and Dependence Structures for Lifetimes of Systems With Shared Components

A computational approach to extreme values and related hitting probabilities in level-dependent quasi-birth–death processes

First-exit-time problems for two-dimensional Wiener and Ornstein–Uhlenbeck processes through time-varying ellipses

Stochastic comparisons, differential entropy and varentropy for distributions induced by probability density functions

A Bertalanffy–Richards growth model perturbed by a time-dependent pattern, statistical analysis and applications

Modeling the random spreading of fake news through a two‐dimensional time‐inhomogeneous birth‐death process

Bivariate tempered space-fractional Poisson process and shock models

Stochastic Growth Models for the Spreading of Fake News

Competing risks and shock models governed by a generalized bivariate Poisson process

On Some Finite-Velocity Random Motions Driven by the Geometric Counting Process

Vessels Arrival Process and its Application to the SHIP/M/$$\infty$$ Queue

Statistical analysis and first-passage-time applications of a lognormal diffusion process with multi-sigmoidal logistic mean

Weighted Mean Inactivity Time Function with Applications

A Model Based on Fractional Brownian Motion for Temperature Fluctuation in the Campi Flegrei Caldera

Continuous‐time multi‐type Ehrenfest model and related Ornstein–Uhlenbeck diffusion on a star graph

Fractional generalized cumulative entropy and its dynamic version

Some Results on the Telegraph Process Confined by Two Non-Standard Boundaries

Collaborators (9)

Francisco Torres-Ruiz

Paola Paraggio

Jorge Navarro

Alessandra Meoli

Virginia Giorno

Alfonso Suárez-Llorens

Amelia G. Nobile

Marco Capaldo

Serena Spina

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