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Whitening, or sphering, is a common preprocessing step in statistical analysis to transform random variables to orthogonality.
The use of multiple measurements in taxonomic problems
Fisher, R. A. (1936) · 1936
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The minimal transtransform to orthonormality
Johnson, R. M. (1966) · 1966
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Exploratory projection pursuit
Friedman, J. H. (1987) · 1987
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Decomposition of R 2 R^{2} in multiple regression with correlated regressors
Genizi, A. (1993) · 1993
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The “independent components” of natural scenes are edge filters
Bell, A. J. and Sejnowski, T. J. (1997) · 1997
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Sphering and its properties
Li, G. and Zhang, J. (1998) · 1998
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Principal Component Analysis
Jolliffe, I. T. (2002) · 2002
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MMSE whitening and subspace whitening
Eldar, Y. C. and Oppenheim, A. V. (2003) · 2003
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A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics
Schäfer, J. and Strimmer, K. (2005) · 2005
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Gene ranking and biomarker discovery under correlation
Zuber, V. and Strimmer, K. (2009) · 2009
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Feature selection in omics prediction problems using cat scores and false non-discovery rate control
Ahdesmäki, M. and Strimmer, K. (2010) · 2010
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Covariance estimation: the GLM and regularization perspectives
Pourahmadi, M. (2011) · 2011
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High-dimensional regression and variable selection using CAR scores
Zuber, V. and Strimmer, K. (2011) · 2011
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Orthogonalization of vectors with minimal adjustment
Garthwaite, P. H., Critchley, F., Anaya-Izquierdo, K., and Mubwandarikwa, E. (2012) · 2012
Later among the works it cites.
A novel algorithm for simultaneous SNP selection in high-dimensional genome-wide association studies
Zuber, V., Duarte Silva, A. P., and Strimmer., K. (2012) · 2012
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Sparsifying the Fisher linear discriminant by rotation
Hao, N., Dong, B., and Fan, J. (2015) · 2015
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