Cover Image

Maximum of sparsely equicorrelated Gaussian fields and applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Heiny, Johannes, Jiang, Tiefeng, Pham, Tuan, Qi, Yongcheng
Format:	Preprint
Published:	2026
Subjects:	Probability Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quadratic form of heavy-tailed self-normalized random vector with applications in $α$-heavy Mar\v cenko--Pastur law
by: Dong, Zhaorui, et al.
Published: (2026)

Maximum interpoint distance of high-dimensional random vectors
by: Heiny, Johannes, et al.
Published: (2023)

Asymptotic analysis of high-dimensional uniformity tests under heavy-tailed alternatives
by: Jiang, Tiefeng, et al.
Published: (2025)

Detecting non-uniform patterns on high-dimensional hyperspheres
by: Jiang, Tiefeng, et al.
Published: (2025)

Largest Eigenvalues of Principal Minors of Deformed Gaussian Orthogonal Ensembles and Wishart Matrices
by: Jiang, Tiefeng, et al.
Published: (2024)

A note on time-uniform concentration inequality for matrix products
by: Pham, Tuan, et al.
Published: (2025)

Testing for practically significant dependencies in high dimensions via bootstrapping maxima of U-statistics
by: Bastian, Patrick, et al.
Published: (2022)

Adapted Wasserstein Barycenters of Gaussian Processes
by: Mattesini, Francesco, et al.
Published: (2026)

The Gaussian entropy map in valued fields
by: Maazouz, Yassine El
Published: (2021)

Edgeworth corrections for the spiked eigenvalues of non-Gaussian sample covariance matrices with applications
by: Wei, Yashi, et al.
Published: (2025)

On the edge eigenvalues of sparse random geometric graphs
by: Ding, Xiucai, et al.
Published: (2025)

Sharp minimax risks and phase transitions in sparse submatrix detection
by: Goswami, Subhajit, et al.
Published: (2026)

Gaussian random field approximation via Stein's method with applications to wide random neural networks
by: Balasubramanian, Krishnakumar, et al.
Published: (2023)

An explicit link between graphical models and Gaussian Markov random fields on metric graphs
by: Bolin, David, et al.
Published: (2025)

Gaussian random projections of convex cones: approximate kinematic formulae and applications
by: Han, Qiyang, et al.
Published: (2022)

A class of sparse Johnson--Lindenstrauss transforms and analysis of their extreme singular values
by: Dzahini, Kwassi Joseph, et al.
Published: (2022)

On the Maximum and Minimum of a Multivariate Poisson Distribution
by: Liu, Zheng, et al.
Published: (2024)

Extreme eigenvalues and eigenvectors for finite rank additive deformations of non-hermitian sparse random matrices
by: Hachem, Walid, et al.
Published: (2026)

Spectra of high-dimensional sparse random geometric graphs
by: Cao, Yifan, et al.
Published: (2025)

Maximum likelihood estimation in the ergodic Volterra Ornstein-Uhlenbeck process
by: Alaya, Mohamed Ben, et al.
Published: (2024)

Pseudo-Maximum Likelihood Theory for High-Dimensional Rank One Inference
by: Grant, Curtis, et al.
Published: (2025)

Extreme singular values of inhomogeneous sparse random rectangular matrices
by: Dumitriu, Ioana, et al.
Published: (2022)

Eigenvalues of Product of Ginibre Ensembles and Their Inverses and that of Truncated Haar Unitary Matrices and Their Inverses
by: Chang, Shuhua, et al.
Published: (2024)

Gaussian random field's anisotropy using excursion sets
by: Azaïs, Jean-Marc, et al.
Published: (2025)

On the Estimation of Gaussian Moment Tensors
by: Al-Ghattas, Omar, et al.
Published: (2025)

A Note on "Quasi-Maximum-Likelihood Estimation in Conditionally Heteroscedastic Time Series: A Stochastic Recurrence Equations Approach"
by: Krabbe, Frederik
Published: (2025)

Wasserstein bounds for non-linear Gaussian filters
by: Karvonen, Toni, et al.
Published: (2025)

A Simplified Condition For Quantile Regression
by: Peng, Liang, et al.
Published: (2025)

On the Low-Temperature MCMC threshold: the cases of sparse tensor PCA, sparse regression, and a geometric rule
by: Chen, Zongchen, et al.
Published: (2024)

Sample complexity for divergence regularized optimal transport with radial cost
by: Han, Ruiyu, et al.
Published: (2025)

The level of self-organized criticality in oscillating Brownian motion: $n$-consistency and stable Poisson-type convergence of the MLE
by: Brutsche, Johannes, et al.
Published: (2025)

Two-sample tests for relevant differences in persistence diagrams
by: Krebs, Johannes, et al.
Published: (2024)

A scale-free density bound for Gaussian maxima
by: Vijaykumar, Suhas
Published: (2026)

Regularization Effects of Time Integration on Gaussian Process Functionals
by: Amaba, Takafumi, et al.
Published: (2025)

Asymptotic analysis of the finite predictor for the fractional Gaussian noise
by: Chigansky, P., et al.
Published: (2025)

Gaussian Broadcast on Grids
by: Jiradilok, Pakawut, et al.
Published: (2024)

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

A New Proof of Sub-Gaussian Norm Concentration Inequality
by: Liu, Zishun, et al.
Published: (2025)

Anti-Concentration Inequalities for the Difference of Maxima of Gaussian Random Vectors
by: Belloni, Alexandre, et al.
Published: (2024)

Concentration inequalities for strong laws and laws of the iterated logarithm
by: Ruf, Johannes, et al.
Published: (2025)