A new kurtosis matrix, with statistical applications
From MaRDI portal
Publication:332626
DOI10.1016/j.laa.2016.09.033zbMath1403.62129OpenAlexW2521054267MaRDI QIDQ332626
Publication date: 8 November 2016
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.laa.2016.09.033
independent component analysiskurtosisprojection pursuitGARCH processmultivariate kurtosisreversible processweighted distribution
Multivariate analysis (62H99) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Eigenvalues, singular values, and eigenvectors (15A18)
Related Items
Kurtosis test of modality for rotationally symmetric distributions on hyperspheres ⋮ The relationship between shape parameters and kurtosis in some relevant models ⋮ Kurtosis removal for data pre-processing ⋮ A proposal of new disnormality indexes ⋮ Numerical range for weighted Moore-Penrose inverse of tensor ⋮ Some theoretical properties of two kurtosis matrices, with application to invariant coordinate selection ⋮ Kurtosis Maximization for Outlier Detection in GARCH Models
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Diagonalization of tensors with circulant structure
- Spectral analysis of the fourth moment matrix
- Canonical transformations of skew-normal variates
- Generalized skew-elliptical distributions and their quadratic forms
- Multivariate skewness and kurtosis measures with an application in ICA
- Eigenvectors of a kurtosis matrix as interesting directions to reveal cluster structure
- Projection pursuit
- Generalized autoregressive conditional heteroscedasticity
- Matrix derivatives with an application to an adaptive linear decision problem
- Testing for elliptical symmetry in covariance matrix based analyses.
- Linear transformations to symmetry
- On the multivariate extended skew-normal, normal-exponential, and normal-gamma distributions
- Singular value decomposition of the third multivariate moment
- Kronecker Square Roots and the Block Vec Matrix
- The multivariate skew-normal distribution
- Cluster Identification Using Projections
- Measures of multivariate skewness and kurtosis with applications
- Moments of skew-normal random vectors and their quadratic forms