Performance Quantile Regression and Bayesian Quantile Regression in Dealing with Non-normal Errors (Case Study on Simulated Data)

This research discusses the performance of quantile regression and Bayesian quantile regression methods. Quantile regression uses parameter estimation by maximizing the value of the likelihood function, while Bayesian quantile regression uses parameter estimation with the Bayesian concept. The Baye...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Lilis Harianti Hasibuan, Ferra Yanuar, Vika Pradinda Harahap, Latifatul Qalbi
Aineistotyyppi:	Artigo
Kieli:	Indonésio
Julkaistu:	Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung 2024-12-01
Sarja:	Numerical: Jurnal Matematika dan Pendidikan Matematika
Aiheet:	Gibbs Sampling Mean Square Error (MSE) Quantile Regression Normality Assumption
Linkit:	https://journal.iaimnumetrolampung.ac.id/index.php/numerical/article/view/4922
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