Review Articles

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

  1. Power, M. D., & Dong, Y. (2020). Bayesian model averaging sufficient dimension reduction [Manuscript submitted for publication]. [Google Scholar]
  2. Reich, B. J., Bondell, H. D., & Li, L. (2011). Sufficient dimension reduction via Bayesian mixture modeling. Biometrics67(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]