Structural brain connectivity and cognitive ability differences: A multivariate distance matrix regression analysis
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DOI: 10.1002/hbm.23419
Abstract: Neuroimaging research involves analyses of huge amounts of biological data that might or might not be related with cognition. This relationship is usually approached using univariate methods, and, therefore, correction methods are mandatory for reducing… read more here.
Keywords: matrix regression; distance matrix; cognitive ability; connectivity ... See more keywords
A direct method to Frobenius norm-based matrix regression
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DOI: 10.1080/00207160.2019.1668558
Abstract: Regression analysis has been widely used for face recognition. This paper mainly discuss the following regularized matrix regression problem: Given a set of k image matrices and an image matrix find such that where are… read more here.
Keywords: frobenius norm; direct method; matrix regression; regression ... See more keywords
The parameter estimation of the multivariate matrix regression models
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DOI: 10.19139/soic.v6i2.361
Abstract: In this paper, we consider the parameter matrix estimation problem of the multivariate matrix regression models. We approximate the parameter matrix $B$ and the covariance matrix by using the method of the maximum likelihood estimation,… read more here.
Keywords: estimation; matrix regression; regression models; matrix ... See more keywords