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zbMATH Open
Article . 2025
Data sources: zbMATH Open
Statistica Sinica
Article . 2025 . Peer-reviewed
Data sources: Crossref
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Bandwidth Selection for Large Covariance and Precision Matrices

Bandwidth selection for large covariance and precision matrices
Authors: Zhu, Xuehu; Guo, Jian; Guo, Xu; Zhu, Lixing; Zheng, Jiasen;

Bandwidth Selection for Large Covariance and Precision Matrices

Abstract

Summary: For large covariance matrices and the corresponding precision matrices with banding structures, this paper develops a criterion to identify the bandwidth. The new method is based on an objective function that is discontinuous at the true bandwidth to show a ``valley-cliff'' pattern so that the identification of this location can be visualized and easily implemented. We offer the estimation consistency and the estimation error bound of the estimated covariance matrix and precision matrix with this estimated bandwidth. Numerical studies demonstrate the finite sample validity of the method, and a real data validity analysis is used for illustration.

Related Organizations
Keywords

covariance matrix, tapering, Statistics, banding, large \(p\) small \(n\), Cholesky decomposition, precision matrix

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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