References
- Cook, R. D. 1994. On the interpretation of regression plots. Journal of the American Statistical Association 89:177–89.
- Cook, R. D. 1996. Graphics for regressions with a binary response. Journal of the American Statistical Association 91:983–92.
- Cook, R. D. 2000. SAVE: A method for dimension reduction and graphics in regression. Communications in Statistics, Part A: Theory and Methods 29:2109–21.
- Cook, R. D., and Weisberg, S. 1991. Comment on sliced inverse regression for dimension reduction, by K. C. Li. Journal of the American Statistical Association 86:328–32.
- Cook, R. D., B. Li, and F. Chiaromonte. 2007. Dimension reduction without matrix inversion. Biometrika 94:569–84.
- Hsing, T., and Carroll, R. J. 1992. An asymptotic theory for sliced inverse regression. The Annals of Statistics 20:1040–61.
- Li, K. C. 1991. Sliced inverse regression for dimension reduction (with discussion). Journal of the American Statistical Association 86:316–42.
- Li, Y. X., and L. X. Zhu. 2007. Asymptotics for sliced average variance estimation. The Annals of Statistics 35:41–69.
- Velilla, S. 1998. Assessing the Number of Linear Components in a General Regression Problem. Journal of the American Statistical Association 93:1088–1098.
- Wu, Q., F. Liang, and S. Mukherjee. 2010. Localized sliced inverse regression. Journal of Computational and Graphical Statistics 19:843–60.
- Zhu, L. X., B. Miao, and H. Peng. 2006. On sliced inverse regression with high dimensional covariates. Journal of the American Statistical Association 101: 630–43.
- Zhu, L.-X., M. Ohtaki, and Y. X. Li. 2007. On hybrid methods of inverse regression-based algorithms. Computational Statistics & Data Analysis 51:2621–35.