Forecasting the Active Cases of COVID-19 via a New Stochastic Rayleigh Diffusion Process

Forecasting the Active Cases of COVID-19 via a New Stochastic Rayleigh Diffusion Process

In this work, we study the possibility of using a new non-homogeneous stochastic diffusion process based on the Rayleigh density function to model the evolution of the active cases of COVID-19 in Morocco. First, the main probabilistic characteristics and analytic expression of the proposed process a...

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Bibliographic Details
Main Authors: Ahmed Nafidi, Yassine Chakroune, Ramón Gutiérrez-Sánchez, Abdessamad Tridane
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Fractal and Fractional
Subjects:
Rayleigh distribution
diffusion process estimation
mean function
simulated annealing
COVID-19
Online Access:https://www.mdpi.com/2504-3110/7/9/660

Internet

https://www.mdpi.com/2504-3110/7/9/660

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