A hyperbolastic type-I diffusion process: Parameter estimation bymeans of the firefly algorithm

Fuente: arXiv
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Autori principali: Barrera, Antonio, Román-Román, Patricia, Torres-Ruiz, Francisco
Natura: Preprint
Pubblicazione: 2024
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author Barrera, Antonio
Román-Román, Patricia
Torres-Ruiz, Francisco
author_facet Barrera, Antonio
Román-Román, Patricia
Torres-Ruiz, Francisco
contents A stochastic diffusion process, whose mean function is a hyperbolastic curve of type I, is presented. Themain characteristics of the process are studied and the problem of maximum likelihood estimation forthe parameters of the process is considered. To this end, the firefly metaheuristic optimization algo-rithm is applied after bounding the parametric space by a stagewise procedure. Some examples basedon simulated sample paths and real data illustrate this development.
format Preprint
id arxiv_https___arxiv_org_abs_2402_03416
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A hyperbolastic type-I diffusion process: Parameter estimation bymeans of the firefly algorithm
Barrera, Antonio
Román-Román, Patricia
Torres-Ruiz, Francisco
Methodology
Probability
Statistics Theory
00-01, 99-00
A stochastic diffusion process, whose mean function is a hyperbolastic curve of type I, is presented. Themain characteristics of the process are studied and the problem of maximum likelihood estimation forthe parameters of the process is considered. To this end, the firefly metaheuristic optimization algo-rithm is applied after bounding the parametric space by a stagewise procedure. Some examples basedon simulated sample paths and real data illustrate this development.
title A hyperbolastic type-I diffusion process: Parameter estimation bymeans of the firefly algorithm
topic Methodology
Probability
Statistics Theory
00-01, 99-00
url https://arxiv.org/abs/2402.03416