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We propose a Bayesian methodology for estimating spiked covariance matrices with jointly sparse structure in high dimensions.
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Hagerup, T. and Rüb, C. (1990) · 1990
Earlier work this paper cites.
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Stewart, G. W. and Sun, J.-G. (1990) · 1990
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Earlier work this paper cites.
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