High-dimensional sample covariance matrices with Curie-Weiss entries
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Publication:5140268
zbMath1454.60013arXiv1910.12332MaRDI QIDQ5140268
Michael Fleermann, Johannes Heiny
Publication date: 15 December 2020
Full work available at URL: https://arxiv.org/abs/1910.12332
Central limit and other weak theorems (60F05) Random matrices (probabilistic aspects) (60B20) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
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Local semicircle law for Curie-Weiss type ensembles ⋮ Large sample covariance matrices of Gaussian observations with uniform correlation decay ⋮ Proof methods in random matrix theory ⋮ Large sample autocovariance matrices of linear processes with heavy tails ⋮ Thin-shell theory for rotationally invariant random simplices ⋮ Local central limit theorem for multi-group Curie-Weiss models
Cites Work
- Unnamed Item
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- Semicircle law for a matrix ensemble with dependent entries
- A phase transition for the limiting spectral density of random matrices
- Extreme value analysis for the sample autocovariance matrices of heavy-tailed multivariate time series
- Poisson convergence for the largest eigenvalues of heavy tailed random matrices
- Spectral analysis of large dimensional random matrices
- Concentration of measure and spectra of random matrices: applications to correlation matrices, elliptical distributions and beyond
- Convergence to the semicircle law
- A limit theorem for the norm of random matrices
- Almost sure convergence of the largest and smallest eigenvalues of high-dimensional sample correlation matrices
- Semicircle law for generalized Curie-Weiss matrix ensembles at subcritical temperature
- On the empirical distribution of eigenvalues of a class of large dimensional random matrices
- Tracy-Widom limit for Kendall's tau
- The eigenstructure of the sample covariance matrices of high-dimensional stochastic volatility models with heavy tails
- Testing for independence of large dimensional vectors
- Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices with general growth rates: the iid case
- Marčenko-Pastur law for Kendall's tau
- Limiting spectral distribution of renormalized separable sample covariance matrices when \(p/n\to 0\)
- Large Sample Covariance Matrices and High-Dimensional Data Analysis
- Curie–Weiss magnet—a simple model of phase transition
- Asymptotic theory for the sample covariance matrix of a heavy-tailed multivariate time series