Santos, Bruno R., Bolfarine, Heleno (2015) Analysis of Brazil’s presidential election via Bayesian spatial quantile regression. In: Proceedings of the 30th International Workshop on Statistical Modelling. 2. pp. 247-248. Johannes Kepler University Linz (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90515)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://www.statmod.org/files/proceedings/iwsm2015_... |
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Abstract
We show an extension of Bayesian quantile regression models when the response variable is reported as a proportion and spatial correlation is present. We are specially interested in the data of the last presidential election in Brazil, which was decided by 2% of the valid votes, approximately. We use quantile regression models to show how some sociodemographic variables are associated with different quantiles of the distribution of votes in this close election.
| Item Type: | Conference or workshop item (Poster) |
|---|---|
| Uncontrolled keywords: | Bayesian spatial quantile regression; Asymmetric Laplace predictive process; Brazil’s presidential election data. |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA297 Numerical analysis |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Mathematical Sciences |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
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| Depositing User: | Amy Boaler |
| Date Deposited: | 01 Oct 2021 10:05 UTC |
| Last Modified: | 20 May 2025 11:40 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/90515 (The current URI for this page, for reference purposes) |
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