Discrepancy between structured matrices in the power analysis of a separability test
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Publication:6554260
DOI10.1016/J.CSDA.2023.107907zbMATH Open1543.62066MaRDI QIDQ6554260
Katarzyna Filipiak, Daniel Klein, Monika Mokrzycka
Publication date: 12 June 2024
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
likelihood ratio testcovariance structurequadratic loss functionpower analysisentropy loss functionRao score test
Cites Work
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- Gaussian and robust Kronecker product covariance estimation: existence and uniqueness
- On implementation of a test for Kronecker product covariance structure for multivariate repeated measures data
- Models with a Kronecker product covariance structure: estimation and testing
- Score test for a separable covariance structure with the first component as compound symmetric correlation matrix
- Estimation of a covariance matrix under Stein's loss
- On the use and interpretation of certain test criteria for purposes of statistical inference. I, II.
- Covariance structure regularization via entropy loss function
- Approximation with a Kronecker product structure with one component as compound symmetry or autoregression
- Growth curve models and statistical diagnostics
- Unbiased modified likelihood ratio tests for simple and double separability of a variance-covariance structure
- Approximation with a Kronecker product structure with one component as compound symmetry or autoregression via entropy loss function
- The likelihood ratio test for a separable covariance matrix
- A likelihood ratio test for separability of covariances
- A comparison of likelihood ratio tests and Rao's score test for three separable covariance matrix structures
- The mle algorithm for the matrix normal distribution
- On Estimation of Covariance Matrices With Kronecker Product Structure
- Block-Diagonal Covariance Selection for High-Dimensional Gaussian Graphical Models
- Testing a block exchangeable covariance matrix
- Testing and Estimation for a Circular Stationary Model
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