References in zbMATH (referenced in 13 articles , 1 standard article )

Showing results 1 to 13 of 13.
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  1. Girard, Stéphane; Lorenzo, Hadrien; Saracco, Jérôme: Advanced topics in sliced inverse regression (2022)
  2. Prendergast, Luke A.; Smith, Jodie A.: Influence functions for linear discriminant analysis: sensitivity analysis and efficient influence diagnostics (2022)
  3. Wang, Huiwen; Wang, Zhichao; Wang, Shanshan: Sliced inverse regression method for multivariate compositional data modeling (2021)
  4. Picheny, Victor; Servien, Rémi; Villa-Vialaneix, Nathalie: Interpretable sparse SIR for functional data (2019)
  5. Chiancone, Alessandro; Forbes, Florence; Girard, Stéphane: Student sliced inverse regression (2017)
  6. Liquet, Benoit; Saracco, Jerome: BIG-SIR: a sliced inverse regression approach for massive data (2016)
  7. Prendergast, Luke A.; Healey, Alan F.: Improving estimated sufficient summary plots in dimension reduction using minimization criteria based on initial estimates (2016)
  8. Fan, Jianqing; Ke, Zheng Tracy; Liu, Han; Xia, Lucy: QUADRO: a supervised dimension reduction method via Rayleigh quotient optimization (2015)
  9. Chavent, Marie; Girard, Stéphane; Kuentz-Simonet, Vanessa; Liquet, Benoit; Nguyen, Thi Mong Ngoc; Saracco, Jérôme: A sliced inverse regression approach for data stream (2014)
  10. Coudret, Raphaël; Liquet, Benoit; Saracco, Jérôme: Comparison of sliced inverse regression approaches for underdetermined cases (2014)
  11. Coudret, R.; Girard, S.; Saracco, J.: A new sliced inverse regression method for multivariate response (2014)
  12. Lian, Heng; Li, Gaorong: Series expansion for functional sufficient dimension reduction (2014)
  13. Liquet, Benoît; Saracco, Jérôme: A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches (2012)