Translator Disclaimer
2017 Bayesian Analysis for a Fractional Population Growth Model
Francisco J. Ariza-Hernandez, Jorge Sanchez-Ortiz, Martin P. Arciga-Alejandre, Luis X. Vivas-Cruz
J. Appl. Math. 2017: 1-9 (2017). DOI: 10.1155/2017/9654506

Abstract

We implement the Bayesian statistical inversion theory to obtain the solution for an inverse problem of growth data, using a fractional population growth model. We estimate the parameters in the model and we make a comparison between this model and an exponential one, based on an approximation of Bayes factor. A simulation study is carried out to show the performance of the estimators and the Bayes factor. Finally, we present a real data example to illustrate the effectiveness of the method proposed here and the pertinence of using a fractional model.

Citation

Download Citation

Francisco J. Ariza-Hernandez. Jorge Sanchez-Ortiz. Martin P. Arciga-Alejandre. Luis X. Vivas-Cruz. "Bayesian Analysis for a Fractional Population Growth Model." J. Appl. Math. 2017 1 - 9, 2017. https://doi.org/10.1155/2017/9654506

Information

Received: 26 July 2016; Revised: 4 November 2016; Accepted: 27 November 2016; Published: 2017
First available in Project Euclid: 24 February 2017

zbMATH: 07037496
MathSciNet: MR3605475
Digital Object Identifier: 10.1155/2017/9654506

Rights: Copyright © 2017 Hindawi

JOURNAL ARTICLE
9 PAGES

This article is only available to subscribers.
It is not available for individual sale.
+ SAVE TO MY LIBRARY

SHARE
Vol.2017 • 2017
Back to Top