Published
2005-01-01
UNA APROXIMACIÓN BAYESIANA AL PROBLEMA DE HETEROSCEDASTICIDAD EN EL MODELO LINEAL SIMPLE
Keywords:
Heteroscedasticidad, modelos de regresión, estadística bayesiana, muestreador de Gibbs (es)Heteroscedasticity, Regression models, Bayesian statistics, Gibbs sampler (en)
Downloads
Presentamos una implementación bayesiana para ayudar a resolver un problema de heteroscedaticidad en el modelo de regresión simple, fácilmente extendible al caso múltiple.
We implement a bayesian solution to the heteroscedasticity problem in simple regression. This solution can be easily generalized to the multiple regression case.
Article abstract page views
334
Downloads
Download data is not yet available.
How to Cite
Correa, J. C. (2005). UNA APROXIMACIÓN BAYESIANA AL PROBLEMA DE HETEROSCEDASTICIDAD EN EL MODELO LINEAL SIMPLE. Revista Colombiana De Estadística, 28(1), 17-21. https://revistas.unal.edu.co/index.php/estad/article/view/28811
License
Copyright (c) 2005 Revista Colombiana de Estadística
This work is licensed under a Creative Commons Attribution 4.0 International License.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
