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Sparse Canonical Correlation Analysis (CCA) has received considerable attention in high-dimensional data analysis to study the relationship between two sets of random variables.
Analysis of a complex of statistical variables into principal components
Hotelling, H. (1933) · 1933
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Relations between two sets of variates
Hotelling, H. (1936) · 1936
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Matrix perturbation theory
Stewart, G. W. and J.-g. Sun (1990) · 1990
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Matrix computations
Golub, G. H. and C. F. Van Loan (1996) · 1996
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Probabilistic principal component analysis
Tipping, M. E. and C. M. Bishop (1999) · 1999
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Variable selection via nonconcave penalized likelihood and its oracle properties
Fan, J. and R. Li (2001) · 2001
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Thresholding for weighted chi-squared
Johnstone, I. (2001) · 2001
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Gene expression profiling predicts clinical outcome of breast cancer
van’t Veer, L. J., H. Dai, M. J. Van De Vijver, Y. D. He, A. A. Hart, M. Mao, H. L. Peterse, K. van der Kooy, M. J. Marton, A. T. Witteveen, et al. (2002) · 2002
Earlier work this paper cites.
Gene expression profiles of human breast cancer progression
Ma, X.-J., R. Salunga, J. T. Tuggle, J. Gaudet, E. Enright, P. McQuary, T. Payette, M. Pistone, K. Stecker, B. M. Zhang, et al. (2003) · 2003
Earlier work this paper cites.
Canonical correlation analysis: An overview with application to learning methods
Hardoon, D. R., S. Szedmak, and J. Shawe-Taylor (2004) · 2004
Earlier work this paper cites.
A probabilistic interpretation of canonical correlation analysis
Bach, F. R. and M. I. Jordan (2005) · 2005
Earlier work this paper cites.
Molecular portraits and 70-gene prognosis signature are preserved throughout the metastatic process of breast cancer
Weigelt, B., Z. Hu, X. He, C. Livasy, L. A. Carey, M. G. Ewend, A. M. Glas, C. M. Perou, and L. J. van’t Veer (2005) · 2005
Earlier work this paper cites.
High dimensional graphs and variable selection with the lasso
Meinshausen, N. and P. Bühlmann (2006) · 2006
Earlier work this paper cites.
Concentration inequalities and model selection
Massart, P. (2007) · 2007
Earlier work this paper cites.
Sparse inverse covariance estimation with the graphical lasso
Friedman, J., T. Hastie, and R. Tibshirani (2008) · 2008
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A greedy approach to sparse canonical correlation analysis
Wiesel, A., M. Kliger, and A. O. Hero III (2008) · 2008
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An online multi-channel ssvep-based brain–computer interface using a canonical correlation analysis method
Bin, G., X. Gao, Z. Yan, B. Hong, and S. Gao (2009) · 2009
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On consistency and sparsity for principal components analysis in high dimensions
Johnstone, I. M. and A. Y. Lu (2009) · 2009
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Sparse canonical methods for biological data integration: application to a cross-platform study
Lê Cao, K.-A., P. G. Martin, C. Robert-Granié, and P. Besse (2009) · 2009
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A constrained ℓ1 minimization approach to sparse precision matrix estimation
Cai, T., W. Liu, and X. Luo (2011) · 2011
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Sparse canonical correlation analysis
Hardoon, D. R. and J. Shawe-Taylor (2011) · 2011
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Minimax bounds for sparse pca with noisy high-dimensional data
Birnbaum, A., I. M. Johnstone, B. Nadler, and D. Paul (2012) · 2012
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Sparse pca: Optimal rates and adaptive estimation
Cai, T. T., Z. Ma, and Y. Wu (2012) · 2012
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Optimal rates of convergence for sparse covariance matrix estimation
Cai, T. T. and H. H. Zhou (2012) · 2012
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Sparse canonical correlation analysis with application to genomic data integration
Parkhomenko, E., D. Tritchler, and J. Beyene (2009) · 2009
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Introduction to nonparametric estimation
Tsybakov, A. B. (2009) · 2009
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Sparse canonical correlation analysis for identifying, connecting and completing gene-expression networks
Waaijenborg, S. and A. H. Zwinderman (2009) · 2009
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A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
Witten, D. M., R. Tibshirani, and T. Hastie (2009) · 2009
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Extensions of sparse canonical correlation analysis with applications to genomic data
Witten, D. M. and R. J. Tibshirani (2009) · 2009
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Dementia induces correlated reductions in white matter integrity and cortical thickness: a multivariate neuroimaging study with sparse canonical correlation analysis
Avants, B. B., P. A. Cook, L. Ungar, J. C. Gee, and M. Grossman (2010) · 2010
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Optimal rates of convergence for covariance matrix estimation
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Package ‘pma’
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