A spectral decomposition approach for multi-view covariance estimation yields conjugate normal-inverse-gamma posteriors and high-dimensional asymptotic guarantees.
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Inference on covariance structure in high-dimensional multi-view data
A spectral decomposition approach for multi-view covariance estimation yields conjugate normal-inverse-gamma posteriors and high-dimensional asymptotic guarantees.