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Vibrational spectrum of Granular packings with random matrices. [PDF]
Narayan O, Mathur H.
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The nature of non-phononic excitations in disordered systems. [PDF]
Schirmacher W +6 more
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Introduction to correlation networks: Interdisciplinary approaches beyond thresholding. [PDF]
Masuda N +3 more
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Interplay between MRI-based axon diameter and myelination estimates in macaque and human brain. [PDF]
Gong T +8 more
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On the moments of roots of Laguerre-polynomials and the Marchenko–Pastur law
Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae. Sectio computatorica, 2016In this paper we compute the leading terms in the sum of the $k^{th}$ power of the roots of $L_{p}^{(\alpha)}$, the Laguerre-polynomial of degree $p$ with parameter $\alpha$.
M. Kornyik, G. Michaletzky
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Annales de l'Institute Henri Poincare. Physique theorique, 2020
We consider the complex eigenvalues of a Wishart type random matrix model X=X1X2∗\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage ...
G. Akemann, Sunggyu Byun, Nam-Gyu Kang
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We consider the complex eigenvalues of a Wishart type random matrix model X=X1X2∗\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage ...
G. Akemann, Sunggyu Byun, Nam-Gyu Kang
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Marchenko-pastur law for the spectrum of a random weighted bipartite graph
Matematicheskie trudyThis study investigates the spectra of random weighted bipartite graphs. We establish that under specific assumptions on the edge probabilities, the empirical spectral distribution function of the graph's adjacency matrix converges to the symmetrized ...
A. V. Nadutkina +2 more
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Exact simulation of the Marchenko-Pastur distribution
Statistics & Probability Letters. The Marchenko-Pastur law (Marchenko and Pastur, 1967) describes the limit law of eigenvalues of large rectangular matrices. We give two efficient algorithms for simulating random variables from this distribution.
Luc Devroye
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Marchenko–Pastur Laws for Daniell Smoothed Periodograms
Journal of Time Series AnalysisGiven a sample from a ‐dimensional stationary time series , the most commonly used estimator for the spectral density matrix at a given frequency is the Daniell smoothed periodogram which is an average over many periodograms at slightly perturbed ...
Ben Deitmar
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Models of Heavy-Tailed Mechanistic Universality
International Conference on Machine LearningRecent theoretical and empirical successes in deep learning, including the celebrated neural scaling laws, are punctuated by the observation that many objects of interest tend to exhibit some form of heavy-tailed or power law behavior. In particular, the
Liam Hodgkinson +2 more
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