Cover Image

LSD of the Commutator of two data Matrices

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hazarika, Javed, Paul, Debashis
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Limiting Spectral Distribution of a Random Commutator Matrix
by: Hazarika, Javed, et al.
Published: (2024)

LSD of sample covariances of superposition of matrices with separable covariance structure
by: Hazarika, Javed, et al.
Published: (2025)

Bulk Spectra of Truncated Sample Covariance Matrices
by: Ghosh, Subhroshekhar, et al.
Published: (2024)

Extremal Eigenvalues of Random Kernel Matrices with Polynomial Scaling
by: Kogan, David, et al.
Published: (2024)

Sequential Eigenvalue Statistics for Change-Point Detection in Covariance Matrices
by: Dörnemann, Nina, et al.
Published: (2024)

On the Square Root of Wishart Matrices: Exact Distributions and Asymptotic Gaussian Behavior
by: Liu, Fengcheng
Published: (2025)

Monitoring for a Phase Transition in a Time Series of Wigner Matrices
by: Dörnemann, Nina, et al.
Published: (2025)

Characterization of Exponential Families of Lumpable Stochastic Matrices
by: Watanabe, Shun, et al.
Published: (2024)

Distributional Limits for Eigenvalues of Graphon Kernel Matrices
by: Aalipur, Behzad
Published: (2026)

Convergence of the empirical two-sample $U$-statistics with $β$-mixing data
by: Dehling, Herold, et al.
Published: (2020)

A New Two-Sample Test for Covariance Matrices in High Dimensions: U-Statistics Meet Leading Eigenvalues
by: Lam, Thomas, et al.
Published: (2025)

Variational Tail Bounds for Norms of Random Vectors and Matrices
by: Bahmani, Sohail
Published: (2025)

Simple Relative Deviation Bounds for Covariance and Gram Matrices
by: Barzilai, Daniel, et al.
Published: (2024)

Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
by: Pandit, Parthe, et al.
Published: (2024)

Advances in the characterization of curvature of two-dimentional probability manifolds
by: Giacopelli, Giuseppe, et al.
Published: (2024)

Well-Posedness and Stability of the Stochastic OGTT Model
by: Bekima, Paul
Published: (2024)

Random Matrices, Intrinsic Freeness, and Sharp Non-Asymptotic Inequalities
by: Bandeira, Afonso S.
Published: (2025)

Análisis de Probabilidad Imposible Vol 1
by: García Pedraza, Rubén
Published: (2025)

Central limit theorems for high dimensional dependent data
by: Chang, Jinyuan, et al.
Published: (2021)

Analysis of The Limiting Spectral Distribution of Large Random Matrices of The Marčenko-Pastur Type
by: Li, Haoran
Published: (2024)

The high-dimensional asymptotics of first order methods with random data
by: Celentano, Michael, et al.
Published: (2021)

Gaussian universality for approximately polynomial functions of high-dimensional data
by: Huang, Kevin Han, et al.
Published: (2024)

Functional central limit theorems for $U$-statistics of beta-mixing data
by: Giraudo, Davide
Published: (2026)

Network and interaction models for data with hierarchical granularity via fragmentation and coagulation
by: James, Lancelot F., et al.
Published: (2024)

An exponential inequality for Hilbert-valued U-statistics of i.i.d. data
by: Giraudo, Davide
Published: (2024)

Exploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method
by: Kirouani, Taki
Published: (2024)

Uncovering the topology of an infinite-server queueing network from population data
by: Gupta, Hritika, et al.
Published: (2025)

Estimating sample paths of Gauss-Markov processes from noisy data
by: Davies, Benjamin
Published: (2024)

Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
by: Most, Thomas
Published: (2024)

Closed-form linear moments of the two-dimensional angular central Gaussian distribution
by: Vareilles, Siméon
Published: (2026)

Teachable normal approximations to binomial and related probabilities or confidence bounds
by: Mattner, Lutz
Published: (2025)

Probability Proofs for Stirling (and More): the Ubiquitous Role of $\mathbf{\sqrt{2π}}$
by: Hjort, Nils Lid, et al.
Published: (2024)

Weak convergence from projected laws on a positive-measure set of directions
by: Cholaquidis, Alejandro, et al.
Published: (2026)

Signature-based validation of real-world economic scenarios
by: Andrès, Hervé, et al.
Published: (2022)

Additive-Functional Approach to Transport in Periodic and Tilted Periodic Potentials
by: Yang, Sang, et al.
Published: (2026)

A concise proof of Benford's law
by: Wang, Luohan, et al.
Published: (2024)

On Limiting Probability Distributions of Higher Order Markov Chains
by: Han, Lixing, et al.
Published: (2025)

CLT in high-dimensional Bayesian linear regression with low SNR
by: Lee, Seunghyun, et al.
Published: (2025)

Optimal estimators for threshold-based quality measures
by: Abrams, Aaron, et al.
Published: (2025)

Two-Sample Covariance Inference in High-Dimensional Elliptical Models
by: Dörnemann, Nina
Published: (2025)