Spectrum of large random inner-product kernel matrices generated from lp ellipsoids
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Publication:5077978
DOI10.1080/03610926.2019.1604962OpenAlexW2944108115MaRDI QIDQ5077978
Publication date: 20 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2019.1604962
Laplacianempirical spectral distributionhigh dimension\(l_p\) ellipsoidsinner-product kernel matrices
Statistics (62-XX) Random matrices (algebraic aspects) (15B52) Limit theorems in probability theory (60F99)
Cites Work
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- Kernel spectral clustering of large dimensional data
- On Euclidean random matrices in high dimension
- The spectrum of kernel random matrices
- Spectral analysis of large dimensional random matrices
- \(L_p\)-norm spherical distribution
- Multivariate \(\theta\)-generalized normal distributions
- Distributions of eigenvalues of large Euclidean matrices generated from \(l_p\) balls and spheres
- A note on the large random inner-product kernel matrices
- Distribution of eigenvalues of large Euclidean matrices generated from \(l_p\) ellipsoid
- THE SPECTRUM OF RANDOM KERNEL MATRICES: UNIVERSALITY RESULTS FOR ROUGH AND VARYING KERNELS
- Generalized Dirichlet distributions on the ball and moments
- THE SPECTRUM OF RANDOM INNER-PRODUCT KERNEL MATRICES
- The surface measure and cone measure on the sphere of ℓ_{𝑝}ⁿ
- Modern Multivariate Statistical Techniques
- $L_p$-norm uniform distribution
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- Distributions for the eigenvalues of large random matrices generated from four manifolds
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