Cover Image

Convergence of the Adapted Smoothed Empirical Measures

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Hou, Songyan
Format:	Preprint
Published:	2024
Subjects:	Probability Statistics Theory 60B10, 62G30, 49Q22
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Empirical Convergence of Even-Order Gromov-Wasserstein Functionals
by: Paliy, Vasyl
Published: (2026)

Convergence of Empirical Optimal Transport in Unbounded Settings
by: Staudt, Thomas, et al.
Published: (2023)

Merging Rate of Opinions via Optimal Transport on Random Measures
by: Catalano, Marta, et al.
Published: (2023)

Large Deviations Principle for Bures-Wasserstein Barycenters
by: Jaffe, Adam Quinn, et al.
Published: (2024)

On the Weak Convergence of the Function-Indexed Sequential Empirical Process and its Smoothed Analogue under Nonstationarity
by: Scholze, Florian Alexander, et al.
Published: (2024)

Empirical measures and random walks on compact spaces in the quadratic Wasserstein metric
by: Borda, Bence
Published: (2021)

Adapted optimal transport between Gaussian processes in discrete time
by: Gunasingam, Madhu, et al.
Published: (2024)

Distributional Shrinkage II: Higher-Order Scores Encode Brenier Map
by: Liang, Tengyuan
Published: (2025)

Zero-couplings of infinite measures with cyclically monotone support and multivariate regular variation
by: Reber, Alexandre, et al.
Published: (2026)

A Sieve M-Estimator for Entropic Optimal Transport
by: Tabri, Rami V.
Published: (2025)

Wasserstein Least Squares: A Canonical Regression Method for Probability Distributions
by: León, Uriel Martínez, et al.
Published: (2026)

Weak semiconvexity estimates for Schrödinger potentials and logarithmic Sobolev inequality for Schrödinger bridges
by: Conforti, Giovanni
Published: (2022)

On a copula product linking Wasserstein correlations and rearranged dependence measures
by: Ansari, Jonathan
Published: (2026)

Moderate deviation principle for the chi-square statistics
by: Yu, Zhenhong, et al.
Published: (2025)

Arcade Processes for Informed Martingale Interpolation
by: Kassis, Georges, et al.
Published: (2023)

Wasserstein Conditional Independence Testing
by: Warren, Andrew
Published: (2021)

Entropic adapted Wasserstein distance on Gaussians
by: Acciaio, Beatrice, et al.
Published: (2024)

Quantitative equidistribution of eigenvalues of Random Normal Matrices in the Wasserstein distance
by: Arias, P. García
Published: (2026)

A transfer principle for computing the adapted Wasserstein distance between stochastic processes
by: Jiang, Yifan, et al.
Published: (2025)

Random Field Representations of Kernel Distances
by: Langmore, Ian
Published: (2025)

Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA
by: Arous, Gérard Ben, et al.
Published: (2024)

Parameter Estimation for multi-mixed Fractional Ornstein--Uhlenbeck Processes by Generalized Method of Moments
by: Almani, Hamidreza Maleki, et al.
Published: (2024)

Feature Learning in Wide Neural Networks under $μ$P: Identifiability and Sparse-Dictionary Decomposition of the Mean-Field Limit
by: Xodarev, Akmal
Published: (2026)

Failure of ambient closed-set large-deviation upper bounds in entropic optimal transport
by: Gwozdz, Maja
Published: (2026)

Distributional Shrinkage I: Universal Denoiser Beyond Tweedie's Formula
by: Liang, Tengyuan
Published: (2025)

The roughness exponent and its model-free estimation
by: Han, Xiyue, et al.
Published: (2021)

A convex approach for Markov chain estimation from aggregate data via inverse optimal transport
by: Mascherpa, Michele, et al.
Published: (2025)

Conditional Optimal Transport on Function Spaces
by: Hosseini, Bamdad, et al.
Published: (2023)

Statistical Inference for Homogenization Limits Driven by Wiener or Hermite Processes
by: Alonso-Martin, Pablo Ramses
Published: (2026)

Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein space
by: Kim, Jakwang, et al.
Published: (2024)

Wasserstein-Cramér-Rao Theory of Unbiased Estimation
by: Trillos, Nicolás García, et al.
Published: (2025)

Estimation of several parameters in discretely-observed Stochastic Differential Equations with additive fractional noise
by: Haress, El Mehdi, et al.
Published: (2023)

Graph-Informed Adversarial Modeling: Infimal Subadditivity of Interpolative Divergences
by: Birmpa, Panagiota, et al.
Published: (2026)

Stochastic gradient descent in high dimensions for multi-spiked tensor PCA
by: Arous, Gérard Ben, et al.
Published: (2024)

Ordering results for extreme claim amounts based on random number of claims
by: Das, Sangita
Published: (2026)

The central limit theorem for sum-functions of m-tuples of spacings
by: Mirakhmedov, Sherzod M.
Published: (2024)

Wasserstein geometry and Ricci curvature bounds for Poisson spaces
by: Schiavo, Lorenzo Dello, et al.
Published: (2023)

Information-Based Martingale Optimal Transport
by: Kassis, Georges, et al.
Published: (2024)

Intrinsic Whittle--Matérn fields and sparse spatial extremes
by: Bolin, David, et al.
Published: (2025)

Extropy Rate: Properties and Application in Feature Selection
by: Kumar, Naveen, et al.
Published: (2025)