An adaptive estimation of dimension reduction

By Yingcun Xia, Howell Tong, Wai Keung Li, Li-xing Zhu. 2002

70 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/411a7239dd81d46f12e08081ba3710fbd8f9171c

How researchers see this paper

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

1. Bing Li
2. Francesca Chiaromonte
3. Jane-ling Wang
4. Hongyuan Zha
5. Ci-Ren Jiang
6. R. Dennis Cook
7. Kenji Fukumizu
8. Xiangrong Yin

Citations in the corpus

• Contour regression: A general approach to dimension reduction (2005, methodology): “nificance to pursue exhaustive estimation under reasonably general sufficient conditions. At the opposite end of the spectrum are adaptive methods that exploit local features of the dependence of Y on X [13, 23]. The strength of these methods is that they require much weaker assumptions (virtually none”
• Functional single index models for longitudinal data (2011, methodology): “Thus, there are two distinctive features in the functional single-index model (1.2), as compared to the traditional single-index model (1.1) considered in Xia (2006) and Xia et al. (2002).”