Bayesian adaptive lasso quantile regression with non-ignorable missing responses

Ranran Chen; Mai Dao; Keying Ye; Min Wang

doi:10.1007/s00180-024-01546-6

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Bayesian adaptive lasso quantile regression with non-ignorable missing responses

Ranran Chen Mai Dao Keying Ye Min Wang

Year: 2024 Journal: Computational Statistics Publisher: Springer Science+Business Media

DOI: 10.1007/s00180-024-01546-6

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Keywords:

Lasso (programming language) Quantile regression Bayesian probability Missing data Econometrics Statistics Quantile Regression Mathematics Computer science

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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

Bayesian adaptive lasso quantile regression with non-ignorable missing responses

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