DIMENSION REDUCTION BASED ON CANONICAL CORRELATION
By Wing Kam Fung, Xuming He, Li Liu, Peijian Shi. 2002
83 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/5507afdd8c208e91061b88aa8a93d4f3daa58f59
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Citations in the corpus
- On a Projective Resampling Method for Dimension Reduction With Multivariate Responses (2008, background): “…(Hristache, Juditsky, Polzehl, and Spokoiny 2001), iterative Hessian transformations (Cook and Li 2002, 2004), outer product gradient estimator (Xia et al. 2002), canonical correlation estimator (Fung et al. 2002), contour regression (Li et al. 2005), and directional regression (Li and Wang 2007).”
- Dimension reduction for nonelliptically distributed predictors (2009, methodology): “These include Ordinary Least Squares (OLS) [Li and Duan (1989)], Sliced Inverse Regression (SIR) [Li (1992)], Parametric Inverse Regression (PIR) [Bura and Cook (2001)], Canonical Correlation [Fung et al. (2002)] and Kernel Inverse Regression (KIR) [Zhu and Fang (1996), Ferre and Yao (2005)].”