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Discussion of ‘A selective review of statistical methods using calibration information from similar studies’

Jing Ning

The University of Texas MD Anderson Cancer Center, Houston, TX, USA

jning@mdanderson.org

Pages | Received 30 Apr. 2022, Accepted 02 May. 2022, Published online: 15 May. 2022,
  • Abstract
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  • References
  • Citations
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  • Li, S., Cai, T. T., & Li, H. (2022). Transfer learning for high-dimensional linear regression: prediction, estimation, and minimax optimality. Journal of the Royal Statistical Society. Series B, Statistical Methodology, 84(1), 149–173. https://doi.org/10.1111/rssb.v84.1
  • Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society, Series B, 58(1), 267–288. https://doi.org/10.1111/j.2517-6161.1996.tb02080.x 
  • Wang, H., Li, R., & Tsai, C. L. (2007). Tuning parameter selectors for the smoothly clipped absolute deviation method. Biometrika, 94(3), 553–568. https://doi.org/10.1093/biomet/asm053 

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