Bayesian Adaptive Lasso for Regression Models with Nonignora…
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- DOI 10.1155/2022/3168735
- OpenAlex ID W4211040519
- Type Article
- Language EN
- Published 01 Jan 2022
- Volume 2022 (1)
- Source Journal of Mathematics
- Publisher Hindawi Publishing Corporation
- Countries 1
- Institutions 2
- Added 13 Feb 2022
- Updated 30 Oct 2026
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Bayesian Adaptive Lasso for Regression Models with Nonignorable Missing Responses
Article 2022 EN Gold
The main purpose of this article is to develop a Bayesian adaptive lasso procedure for analyzing linear regression models with nonignorable missing responses, in which the missingness mechanism is specified by a logistic regression model. A sampling procedure combining the Gibbs sampler and Metropolis‐Hastings algorithm is employed to obtain the Bayesian estimates of the regression coefficients, s…
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2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Yuanying Zhao Corresponding | Guiyang University (CN) | |
| 2 | Xingde Duan | Guizhou University of Finance … (CN) |
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