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Rejoinder on ‘A selective overview of sparse sufficient dimension reduction’
Lu Li ,
a School of Statistics, East China Normal University, Shanghai, People's Republic of China
Xuewong Meggie Wen ,
b Missouri University of Science and Technology Rolla, MO, USA
Zhou Yu
a School of Statistics, East China Normal University, Shanghai, People's Republic of China
zyu@stat.ecnu,edu.cn
Pages 151 |
Received 03 Oct. 2020,
Accepted 03 Oct. 2020,
Published online: 06 Nov. 2020,
- Abstract
- Full Article
- References
- Citations
References
- Power, M. D., & Dong, Y. (2020). Bayesian model averaging sufficient dimension reduction [Manuscript submitted for publication]. [Google Scholar]
- Reich, B. J., Bondell, H. D., & Li, L. (2011). Sufficient dimension reduction via Bayesian mixture modeling. Biometrics, 67(3), 886–895. doi: https://doi.org/10.1111/biom.2011.67.issue-3 doi: 10.1111/j.1541-0420.2010.01501.x [Crossref], [Web of Science ®], [Google Scholar]
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