Bayesian empirical likelihood of quantile regression with missing observations

Changsheng Liu; Han‐Ying Liang

doi:10.1007/s00184-022-00869-y

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Bayesian empirical likelihood of quantile regression with missing observations

Changsheng Liu Han‐Ying Liang

Year: 2022 Journal: Metrika Vol: 86 (3)Pages: 285-313 Publisher: Springer Science+Business Media

DOI: 10.1007/s00184-022-00869-y

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Keywords:

Mathematics Quantile regression Missing data Quantile Covariate Prior probability Statistics Bayesian probability Bayesian linear regression Econometrics Empirical likelihood Markov chain Monte Carlo Bayesian inference

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian empirical likelihood of quantile regression with missing observations

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