Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and Application

We propose a novel diffusion process having a mean function equal to the Pareto probability density function up to a constant of proportionality. We examine the probabilistic properties of the proposed model. Then, referring to the problem of statistical inference, we describe the approach employed...

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Main Authors: Nafidi Ahmed, Makroz Ilyasse, Achchab Boujemâa, Gutiérrez-Sánchez Ramón
Format: Article
Language:English
Published: Sciendo 2023-01-01
Series:Moroccan Journal of Pure and Applied Analysis
Subjects:
Online Access:https://doi.org/10.2478/mjpaa-2023-0009
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author Nafidi Ahmed
Makroz Ilyasse
Achchab Boujemâa
Gutiérrez-Sánchez Ramón
author_facet Nafidi Ahmed
Makroz Ilyasse
Achchab Boujemâa
Gutiérrez-Sánchez Ramón
author_sort Nafidi Ahmed
collection DOAJ
description We propose a novel diffusion process having a mean function equal to the Pareto probability density function up to a constant of proportionality. We examine the probabilistic properties of the proposed model. Then, referring to the problem of statistical inference, we describe the approach employed to tackle the issue of obtaining parameter estimates by maximizing the likelihood function based on discrete sampling. This estimation reduces to solving a set of complex equations, that is accomplished using the simulated annealing algorithm. A simulation study is also given to validate the methodology presented. Finally, using a real-world example of the Moroccan child mortality rate, we obtain the fits and forecasts by employing the suggested stochastic process and nonlinear regression model.
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spelling doaj.art-027b7acdff3948ffa3e86ddcc073c7fd2023-03-06T10:30:08ZengSciendoMoroccan Journal of Pure and Applied Analysis2351-82272023-01-019112714010.2478/mjpaa-2023-0009Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and ApplicationNafidi Ahmed0Makroz Ilyasse1Achchab Boujemâa2Gutiérrez-Sánchez Ramón3Laboratory of Analysis and Modeling Systems for Decision Support, Hassan First University of Settat, National School of Applied Sciences, 26100, Berrchid, MoroccoLaboratory of Analysis and Modeling Systems for Decision Support, Hassan First University of Settat, National School of Applied Sciences, 26100, Berrchid, MoroccoLaboratory of Analysis and Modeling Systems for Decision Support, Hassan First University of Settat, National School of Applied Sciences, 26100, Berrchid, MoroccoDepartamento de Estadística e Investigación Operativa, Faculty of sciences, Campus de Fuentenueva, Universidad de Granada, 18071, Granada, SpainWe propose a novel diffusion process having a mean function equal to the Pareto probability density function up to a constant of proportionality. We examine the probabilistic properties of the proposed model. Then, referring to the problem of statistical inference, we describe the approach employed to tackle the issue of obtaining parameter estimates by maximizing the likelihood function based on discrete sampling. This estimation reduces to solving a set of complex equations, that is accomplished using the simulated annealing algorithm. A simulation study is also given to validate the methodology presented. Finally, using a real-world example of the Moroccan child mortality rate, we obtain the fits and forecasts by employing the suggested stochastic process and nonlinear regression model.https://doi.org/10.2478/mjpaa-2023-0009stochastic diffusion modelpareto distributionstatistical inferencesimulated annealing methodnonlinear regressionchild mortality rate60h3565c3062m8662m2060h30
spellingShingle Nafidi Ahmed
Makroz Ilyasse
Achchab Boujemâa
Gutiérrez-Sánchez Ramón
Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and Application
Moroccan Journal of Pure and Applied Analysis
stochastic diffusion model
pareto distribution
statistical inference
simulated annealing method
nonlinear regression
child mortality rate
60h35
65c30
62m86
62m20
60h30
title Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and Application
title_full Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and Application
title_fullStr Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and Application
title_full_unstemmed Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and Application
title_short Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and Application
title_sort stochastic pareto diffusion process statistical analysis and computational issues simulation and application
topic stochastic diffusion model
pareto distribution
statistical inference
simulated annealing method
nonlinear regression
child mortality rate
60h35
65c30
62m86
62m20
60h30
url https://doi.org/10.2478/mjpaa-2023-0009
work_keys_str_mv AT nafidiahmed stochasticparetodiffusionprocessstatisticalanalysisandcomputationalissuessimulationandapplication
AT makrozilyasse stochasticparetodiffusionprocessstatisticalanalysisandcomputationalissuessimulationandapplication
AT achchabboujemaa stochasticparetodiffusionprocessstatisticalanalysisandcomputationalissuessimulationandapplication
AT gutierrezsanchezramon stochasticparetodiffusionprocessstatisticalanalysisandcomputationalissuessimulationandapplication