Yanuar, Ferra and Zetra, Aidinil and Putri, Arrival Rince and Asdi, Yudiantri (2020) Bayesian LASSO Quantile Regression: An Application to the Modeling of Low Birth Weight. In: Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia.
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Abstract
The modeling of low birth weight using ordinary least square is not appropriate and inefficient. The low birth weight data violates the normality assumption since the data is right skewed. The data usually contains outliers as well. Many researchers used quantile regression approach to model this ca
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 12:54 |
| Last Modified: | 17 Apr 2026 12:25 |
| URI: | http://eprints.eai.eu/id/eprint/27019 |
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