Principal Components Analysis Based on Multivariate MM Estimators With Fast and Robust Bootstrap

By M. Salibián‐Barrera, S. Van Aelst, Gert Willems. 2006

140 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a1db589e7bb3f08cae5968dba471a09b3bf58b5b

How researchers see this paper

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

1. Hamid Babamoradi
2. Å. Rinnan
3. Franciscus Winfried J van der Berg
4. Abdelhak M. Zoubir
5. Visa Koivunen
6. Yacine Chakhchoukh
7. Michael Muma
8. Da‐Wen Sun

Citations in the corpus

• Bootstrap based confidence limits in principal component analysis: a case study (2013, methodology): “Another possible way to suppress the influence of outliers is to apply (computationally demanding) robust PCA [35,37–39], which is however outside the scope of this paper on bootstrap-based uncertainty estimation.”
• Robust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts (2012, methodology): “A fast algorithm for the MM-estimator is given in [50].”