Bayesian regularized regression based on composite quantile method

Weihua Zhao; Riquan Zhang; Ya-zhao Lü; Jicai Liu

doi:10.1007/s10255-016-0579-4

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Bayesian regularized regression based on composite quantile method

Weihua Zhao Riquan Zhang Ya-zhao Lü Jicai Liu

Year: 2016 Journal: Acta Mathematicae Applicatae Sinica English Series Vol: 32 (2)Pages: 495-512 Publisher: Springer Science+Business Media

DOI: 10.1007/s10255-016-0579-4

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Keywords:

Quantile regression Bayesian probability Bayesian linear regression Statistics Regression Mathematics Econometrics Composite number Quantile Computer science Artificial intelligence Bayesian inference Algorithm

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Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Bayesian regularized regression based on composite quantile method

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