A note on sliced inverse regression with regularizations

Biometrics

Volumn 64, Issue 3, 2008, Pages 982-984

  Bernard Michel, C ^a   Gardes, L ^a   Girard, S ^a  

^a UNIV GRENOBLE ALPES   (France)

Author keywords

Inverse regression; Regularization; Sufficient dimension reduction

Indexed keywords

INVERSE PROBLEMS;

ALTERNATING LEAST SQUARES; INVERSE REGRESSION; LEASTSQUARE ALGORITHM; MINIMIZATION PROBLEMS; PERFORMANCE; PROPERTY; REGULARISATION; SLICED INVERSE REGRESSIONS; SUFFICIENT DIMENSION REDUCTION;

BIOMETRICS;

ALGORITHM; OPTIMIZATION; REGRESSION ANALYSIS;

ARTICLE; METHODOLOGY; PERFORMANCE; REGRESSION ANALYSIS; THEORETICAL STUDY;

EID: 49749092651     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01080.x     Document Type: Article

References (5)

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3. Li, K. C. (1991). Sliced inverse regression for dimension reduction. Journal of the American Statistical Association 86, 316 327.
4. Li, L. and Yin, X. (2008). Sliced inverse regression with regularizations. Biometrics 64, 124 131.
5. Zhong, W., Zeng, P., Ma, P., Liu, J. S., and Zhu, Y. (2005). RSIR: Regularized sliced inverse regression for motif discovery. Bioinformatics 21, 4169 4175.