Image de couverture de livre

High Dimensional Space Oddity

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bar, Haim, Pozdnyakov, Vladimir
Format:	Preprint
Publié:	2024
Sujets:	Probability Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Martingale Approach to Gambler's Ruin Problem for Correlated Random Walks
par: Pozdnyakov, Vladimir
Publié: (2025)

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

CLT for Linear Spectral Statistics in High-Dimensional Random Effects Models
par: Xie, Ran, et autres
Publié: (2024)

Pseudo-Maximum Likelihood Theory for High-Dimensional Rank One Inference
par: Grant, Curtis, et autres
Publié: (2025)

High-Dimensional Canonical Correlation Analysis
par: Bykhovskaya, Anna, et autres
Publié: (2023)

Testing Thresholds and Spectral Properties of High-Dimensional Random Toroidal Graphs via Edgeworth-Style Expansions
par: Baguley, Samuel, et autres
Publié: (2025)

Limit Theorems for One-Dimensional Homogenized Diffusion Processes
par: Borodavka, Jaroslav I., et autres
Publié: (2025)

On The Fourier Coefficients of High-Dimensional Random Geometric Graphs
par: Bangachev, Kiril, et autres
Publié: (2024)

High-Dimensional Asymptotics of Differentially Private PCA
par: Yun, Youngjoo, et autres
Publié: (2025)

Sharper dimension-free bounds on the Frobenius distance between sample covariance and its expectation
par: Puchkin, Nikita, et autres
Publié: (2023)

Measuring Partial Exchangeability with Reproducing Kernel Hilbert Spaces
par: Catalano, Marta, et autres
Publié: (2025)

Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks
par: Rangriz, Parsa
Publié: (2025)

Sampling from Constrained Gibbs Measures: with Applications to High-Dimensional Bayesian Inference
par: Wang, Ruixiao, et autres
Publié: (2026)

Breuer-Major Theorems for Hilbert Space-Valued Random Variables
par: Düker, Marie-Christine, et autres
Publié: (2024)

A systematic approach to Covariance matrix formulation in charged particle activation experiments
par: Bar, Tanmoy
Publié: (2026)

Wasserstein and Convex Gaussian Approximations for Non-stationary Time Series of Diverging Dimensionality
par: Liu, Miaoshiqi, et autres
Publié: (2025)

The Berry-Esseen Bound for High-dimensional Self-normalized Sums
par: Chang, Woonyoung, et autres
Publié: (2025)

High-frequency analysis of parabolic stochastic PDEs with multiplicative noise
par: Chong, Carsten
Publié: (2019)

Limiting Spectral Distribution of High-dimensional Multivariate Kendall-$τ$
par: Wu, Ruoyu
Publié: (2025)

Análisis de Probabilidad Imposible Vol 1
par: García Pedraza, Rubén
Publié: (2025)

Mean Estimation in Banach Spaces Under Infinite Variance and Martingale Dependence
par: Whitehouse, Justin, et autres
Publié: (2024)

A New Two-Sample Test for Covariance Matrices in High Dimensions: U-Statistics Meet Leading Eigenvalues
par: Lam, Thomas, et autres
Publié: (2025)

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

When Frictions are Fractional: Rough Noise in High-Frequency Data
par: Chong, Carsten H., et autres
Publié: (2021)

Finite-Dimensional Gaussian Approximation for Deep Neural Networks: Universality in Random Weights
par: Balasubramanian, Krishnakumar, et autres
Publié: (2025)

Sharp One-Dimensional Sub-Gaussian Comparison in Convex Order
par: Zhang, Yihan
Publié: (2026)

Accurate Estimation of Mutual Information in High Dimensional Data
par: Abdelaleem, Eslam, et autres
Publié: (2025)

`pandemonium`: High Dimensional Analysis in Linked Spaces
par: McCoy, Gabriel, et autres
Publié: (2026)

Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling
par: Blanca, Antonio, et autres
Publié: (2022)

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

Contributions to Robust and Efficient Methods for Analysis of High Dimensional Data
par: Yang, Kai
Publié: (2025)

A Large-Dimensional Analysis of ESPRIT DoA Estimation: Inconsistency and a Correction via RMT
par: Wang, Zhengyu, et autres
Publié: (2025)

Probability Proofs for Stirling (and More): the Ubiquitous Role of $\mathbf{\sqrt{2π}}$
par: Hjort, Nils Lid, et autres
Publié: (2024)

A concise proof of Benford's law
par: Wang, Luohan, et autres
Publié: (2024)

Weak convergence from projected laws on a positive-measure set of directions
par: Cholaquidis, Alejandro, et autres
Publié: (2026)

Signature-based validation of real-world economic scenarios
par: Andrès, Hervé, et autres
Publié: (2022)

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

Additive-Functional Approach to Transport in Periodic and Tilted Periodic Potentials
par: Yang, Sang, et autres
Publié: (2026)

Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
par: Lautier, Jackson P., et autres
Publié: (2021)

Nonlinear Filtering and Spatial Asymptotic Consistency for SPDEs Observed via Spatio-Temporal Point Processes
par: Szalankiewicz, Jan, et autres
Publié: (2024)