New Gibbs sampling methods for bayesian regularized quantile regression

Rahim Alhamzawi; Ahmed Alhamzawi; Haithem Taha Mohammad Ali

doi:10.1016/j.compbiomed.2019.05.011

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New Gibbs sampling methods for bayesian regularized quantile regression

Rahim Alhamzawi Ahmed Alhamzawi Haithem Taha Mohammad Ali

Year: 2019 Journal: Computers in Biology and Medicine Vol: 110 Pages: 52-65 Publisher: Elsevier BV

DOI: 10.1016/j.compbiomed.2019.05.011

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Keywords:

Gibbs sampling Lasso (programming language) Collinearity Bayesian probability Elastic net regularization Quantile regression Quantile Markov chain Monte Carlo Mathematics Computer science Statistics Conditional probability distribution Regression Econometrics

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

New Gibbs sampling methods for bayesian regularized quantile regression

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