Related references
Note: Only part of the references are listed.Inner envelopes: efficient estimation in multivariate linear regression
Zhihua Su et al.
BIOMETRIKA (2012)
Achieving near perfect classification for functional data
Aurore Delaigle et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2012)
Near Optimal Prediction from Relevant Components
Inge S. Helland et al.
SCANDINAVIAN JOURNAL OF STATISTICS (2012)
Partial envelopes for efficient estimation in multivariate linear regression
Zhihua Su et al.
BIOMETRIKA (2011)
Sparse partial least squares regression for simultaneous dimension reduction and variable selection
Hyonho Chun et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2010)
SPARSE ESTIMATION OF LARGE COVARIANCE MATRICES VIA A NESTED LASSO PENALTY
Elizaveta Levina et al.
ANNALS OF APPLIED STATISTICS (2008)
Regularized estimation of large covariance matrices
Peter J. Bickel et al.
ANNALS OF STATISTICS (2008)
Sparse permutation invariant covariance estimation
Adam J. Rothman et al.
ELECTRONIC JOURNAL OF STATISTICS (2008)
ST-PLS: a multi-directional nearest shrunken centroid type classi er via PLS
S. Saebo et al.
JOURNAL OF CHEMOMETRICS (2008)
Dimension reduction in regression without matrix inversion
Dennis Cook et al.
BIOMETRIKA (2007)
The prediction error in CLS and PLS: the importance of feature selection prior to multivariate calibration
B Nadler et al.
JOURNAL OF CHEMOMETRICS (2005)
Optimal linear representations of images for object recognition
XW Liu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2004)
Some theoretical aspects of partial least squares regression
IS Helland
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2001)