Far East Journal of Theoretical Statistics

The Far East Journal of Theoretical Statistics publishes original research papers and survey articles in the field of theoretical statistics, covering topics such as Bayesian analysis, multivariate analysis, and stochastic processes.

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A BAYESIAN ESTIMATION METHOD FOR THE FUNCTIONAL SPATIAL ERROR MODEL

Authors

  • Alassane Aw

Keywords:

functional linear models, spatial dependence, Bayesian estimation, MCMC algorithms.

DOI:

https://doi.org/10.17654/0972086324006

Abstract

In this paper, we propose a Bayesian estimation method for the functional spatial error model. The Bayesian MCMC technique is used for the estimation of the parameters of the model. A simulation study is conducted for evaluating the performance of the proposed model. As an illustration, the proposed methodology is used to establish a relationship between unemployment and illiteracy in Senegal.

Received: August 21, 2023
Accepted: October 10, 2023

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Published

2023-12-30

Issue

Section

Articles

How to Cite

A BAYESIAN ESTIMATION METHOD FOR THE FUNCTIONAL SPATIAL ERROR MODEL. (2023). Far East Journal of Theoretical Statistics , 68(1), 93-116. https://doi.org/10.17654/0972086324006

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