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- W2891008451 abstract "Inverse covariance matrix, a.k.a. precision matrix, has wide applications in signal processing and is often estimated from training samples. The quality of estimation can be poor when the sample support is low. Banding/tapering are effective regularization approaches for covariance and precision matrix estimation but the bandwidth must be properly chosen. This paper investigates the bandwidth selection problem for banding/tapering-based precision matrix estimation. Exploiting a regression analysis interpretation of the precision matrix, we design a data-driven cross-validation (CV) method for automatically tuning the bandwidth. The effectiveness of the proposed method is demonstrated by numerical examples under a quadratic loss." @default.
- W2891008451 created "2018-09-27" @default.
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- W2891008451 date "2018-04-01" @default.
- W2891008451 modified "2023-09-24" @default.
- W2891008451 title "Cross-Validated Bandwidth Selection for Precision Matrix Estimation" @default.
- W2891008451 doi "https://doi.org/10.1109/icassp.2018.8462469" @default.
- W2891008451 hasPublicationYear "2018" @default.
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