Cover Image

Spherical Covariance Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bobkov, Sergey G., Duggal, Devraj
Format:	Preprint
Published:	2024
Subjects:	Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Höffding's Kernels and Periodic Covariance Representations
by: Bobkov, Sergey G., et al.
Published: (2024)

Weighted CKP Inequalities Involving Rényi Divergence Powers
by: Bobkov, Sergey G., et al.
Published: (2025)

Rearrangements and infimum convolutions
by: Duggal, Devraj, et al.
Published: (2025)

Curvature and Other Local Inequalities in Markov Semigroups
by: Duggal, Devraj, et al.
Published: (2024)

Central Limit Theorem for Rényi Divergence of Infinite Order
by: Bobkov, Sergey G., et al.
Published: (2024)

Quantified Cramér-Wold Continuity Theorem for the Kantorovich Transport Distance
by: Bobkov, Sergey G., et al.
Published: (2024)

A Quantitative Cramér-Wold Theorem for Zolotarev Distances
by: Bobkov, Sergey G., et al.
Published: (2025)

Berry-Esseen bounds in local limit theorems
by: Bobkov, Sergey, et al.
Published: (2024)

Esscher Transform and the Central Limit Theorem
by: Bobkov, Sergey, et al.
Published: (2024)

The entropy per coordinate of a random vector is highly constrained under convexity conditions
by: Bobkov, Sergey, et al.
Published: (2010)

On the problem of reversibility of the entropy power inequality
by: Bobkov, Sergey G., et al.
Published: (2011)

Energy Bounds for Kantorovich Transport Distances with Convex Cost Functions
by: Bobkov, Sergey, et al.
Published: (2025)

Rényi Divergences in Central Limit Theorems: Old and New
by: Bobkov, S. G., et al.
Published: (2025)

On rate of convergence to the Poisson law of the number of cycles in the generalized random graphs
by: Bobkov, Sergey G., et al.
Published: (2021)

Asymptotic Normality of the Largest Eigenvalue for Noncentral Sample Covariance Matrices
by: Cheng, Huihui, et al.
Published: (2024)

Free Energy Universality of Spherical Spin Glasses
by: Sawhney, Mehtaab, et al.
Published: (2024)

Full-Covariance Chemical Langevin Predator--Prey Diffusion with Absorbing Boundaries
by: Yu, Jiguang, et al.
Published: (2026)

Optimal Estimation of Structured Covariance Operators
by: Al-Ghattas, Omar, et al.
Published: (2024)

Covariance estimation with direction dependence accuracy
by: Abdalla, Pedro, et al.
Published: (2024)

Concentration Inequalities for Sample Cross-Covariances
by: Chen, Jiaheng, et al.
Published: (2026)

Covariance Operator Estimation via Adaptive Thresholding
by: Al-Ghattas, Omar, et al.
Published: (2024)

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

Unconstrained Metropolis–Hastings Sampling of Covariance Matrices
by: Daniel Turek
Published: (2025)

Functional Central Limit Theorems for Constrained Mittag-Leffler Ensemble in Hard Edge Scaling
by: Berezin, Sergey
Published: (2023)

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

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

Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman Filters
by: Al-Ghattas, Omar, et al.
Published: (2023)

Gaps between Singular Values of Sample Covariance Matrices
by: Christoffersen, Nicholas, et al.
Published: (2025)

Heavy-Tailed Mixed p-Spin Spherical Model: Breakdown of Ultrametricity and Failure of the Parisi Formula
by: Kim, Taegyun
Published: (2025)

Poisson Representable Processes
by: Forsström, Malin P., et al.
Published: (2024)

Shattering in Pure Spherical Spin Glasses
by: Alaoui, Ahmed El, et al.
Published: (2023)

Spherical Poisson Needlets with Shrinking Bandwidth
by: Castaldo, Mattia, et al.
Published: (2025)

Eigenvector Overlaps of Random Covariance Matrices and their Submatrices
by: Attal, Elie, et al.
Published: (2025)

Covariance-modulated optimal transport and gradient flows
by: Burger, Martin, et al.
Published: (2023)

The Spherical model and the large-$N$ limit of the Spin $O(N)$ model via the Gaussian free field
by: Aru, Juhan, et al.
Published: (2024)

Accuracy, Estimates, and Representation Results
by: Campbell-Moore, Catrin
Published: (2024)

Stochastic Calculus as Operator Factorization An Operator-Covariant Derivative and Unified Representation
by: Fontes, Ramiro
Published: (2026)

Beyond Diagonal Noise: A Better Predator-Prey Modeling Framework with Cross-Covariance
by: Yu, Jiguang, et al.
Published: (2026)

Covariance Estimation under Missing Observations and $L_4-L_2$ Moment Equivalence
by: Abdalla, Pedro
Published: (2023)

A Constructive Proof of the Spherical Parisi Formula
by: Huang, Brice, et al.
Published: (2023)