The factorability of symmetric matrices and some implications for statistical linear models (Q5947458)
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scientific article; zbMATH DE number 1661138
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | The factorability of symmetric matrices and some implications for statistical linear models |
scientific article; zbMATH DE number 1661138 |
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The factorability of symmetric matrices and some implications for statistical linear models (English)
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2 January 2002
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Cholesky factorization
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symmetric indefinite matrix
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numerical stability
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Kalman filtering
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recursive least squares
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linear statistical models
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The paper is concerned with the Cholesky factorization for a symmetric indefinite matrix \(K\). The theoretical background that involves both the existence and the numerical stability of the factorization is presented but an applicability of the theoretical results is emphasized. NEWLINENEWLINENEWLINEThe existence of the Cholesky factorization is not assured when the matrix \(K\) is not positive definite. Conditions are stated under which a symmetric permutation \(PKP^{T}\) of the matrix \(K\) is factorizable. NEWLINENEWLINENEWLINEThe existence of the Cholesky factorization is shown for matrix structures that appear in statistical applications. The author demonstrates how the Cholesky factorization of an indefinite matrix relates to Kalman filtering, recursive least squares or to a likelihood function in linear statistical models.
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