Envelopes and reduced-rank regression

By R. Dennis Cook, Liliana Forzani, Xin Zhang. 2015

47 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/85f5347fedcd49681d553187f218a61c63d30f4a

How researchers see this paper

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

In Computational Mechanics

1. Shanshan Ding
2. R. Dennis Cook

In Computer Vision and Pattern Recognition

1. Shanshan Ding
2. R. Dennis Cook

In Statistics and Probability

1. Shanshan Ding
2. R. Dennis Cook
3. Bing Li
4. Yingcun Xia
5. Xiangrong Yin
6. Lixing Zhu
7. Lexin Li
8. Howard D. Bondell

Citations in the corpus

• Matrix variate regressions and envelope models (2016, methodology): “X/, following the development of reduced rank envelope models by Cook et al. (2015).”