On a Projective Resampling Method for Dimension Reduction With Multivariate Responses

By Bing Li, Song-qiao Wen, Lixing Zhu. 2008

107 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/fc49d350fe3efb29b658794bf2ef6cbf350bb665

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Bing Li
2. Xiangrong Yin
3. Haileab Hilafu
4. Jun Song

In Statistics and Probability

1. Xiangrong Yin
2. Haileab Hilafu
3. Bing Li
4. Jun Song
5. Yingcun Xia
6. R. Dennis Cook
7. Wenhui Sheng
8. Kenji Fukumizu

Citations in the corpus

• Sequential sufficient dimension reduction for large p, small n problems (2015, background): “See Chiaromonte and Martinelli (2002), Li and Yin (2008), Cook et al. (2007) and Zhu et al. (2010a).”
• Nonlinear sufficient dimension reduction for functional data (2017, background): “On a different front, linear SDR was generalized to the nonlinear case by Li, Artemiou and Li (2011) and Lee, Li and Chiaromonte (2013), which seek a set of nonlinear functions f1(X), . . . , fd(X) such that Y ⊥ X|f1(X), . . . , fd(X).”