Imagen de Portada

Statistical Convergence Rates of Optimal Transport Map Estimation between General Distributions

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ding, Yizhe, Li, Runze, Xue, Lingzhou
Formato:	Preprint
Publicado:	2024
Materias:	Statistics Theory Probability Methodology Machine Learning 62G20, 62G20, 26D10
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Distribution-free Measures of Association based on Optimal Transport
por: Deb, Nabarun, et al.
Publicado: (2024)

Two-Sample Testing with Missing Data via Energy Distance: Weighting and Imputation Approaches
por: Aleksić, Danijel G., et al.
Publicado: (2025)

Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models
por: Liu, Ruiqi, et al.
Publicado: (2023)

PC Adjusted Testing for Low Dimensional Parameters
por: Bhattacharya, Sohom, et al.
Publicado: (2022)

A two-sample test for symmetric positive definite matrix distributions using Wishart kernel density estimators
por: Ouimet, Frédéric
Publicado: (2026)

A uniform kernel trick for high-dimensional two-sample problems
por: Cárcamo, Javier, et al.
Publicado: (2022)

Decompounding Under General Mixing Distributions
por: Belomestny, Denis, et al.
Publicado: (2024)

Multivariate Distribution-Free Nonparametric Testing: Generalizing Wilcoxon's Tests via Optimal Transport
por: Huang, Zhen, et al.
Publicado: (2025)

Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
por: Petersen, Alexander
Publicado: (2024)

Estimation of the invariant measure of a multidimensional diffusion from noisy observations
por: Maillet, Raphaël, et al.
Publicado: (2024)

Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
por: Zhang, Yikun, et al.
Publicado: (2024)

Sparse Anomaly Detection Across Referentials: A Rank-Based Higher Criticism Approach
por: Stoepker, Ivo V., et al.
Publicado: (2023)

A Matsuoka-Based GARMA Model for Hydrological Forecasting: Theory, Estimation, and Applications
por: Pumi, Guilherme, et al.
Publicado: (2025)

A Novel Multiple Imputation Approach For Parameter Estimation in Observation-Driven Time Series Models With Missing Data
por: Pumi, Guilherme, et al.
Publicado: (2026)

Kernel-based independence and mean independence tests for weakly dependent data
por: Diz-Castro, Daniel, et al.
Publicado: (2026)

A nonparametric test for elliptical distribution based on kernel embedding of probabilities
por: Tang, Yin, et al.
Publicado: (2023)

Asymptotic properties of the multivariate Szász-Mirakyan estimator for cumulative distribution functions on the nonnegative orthant
por: Lyu, Guanjie, et al.
Publicado: (2026)

Characterization based Goodness-of-Fit for Generalized Pareto Distribution: A Blend of Stein's Identity and Dynamic Survival Extropy
por: Kandpal, Gaurav, et al.
Publicado: (2025)

Deep learning with missing data
por: Ma, Tianyi, et al.
Publicado: (2025)

Bootstrap tests for almost goodness-of-fit
por: Baíllo, Amparo, et al.
Publicado: (2024)

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

Kernel Density Estimation and Convolution Revisited
por: Tenkorang, Nicholas, et al.
Publicado: (2025)

A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data
por: Gharbi, Rihab, et al.
Publicado: (2025)

Distributional Convergence of Empirical Entropic Optimal Transport and Statistical Applications
por: Arenas-Velilla, Santiago, et al.
Publicado: (2026)

Dirichlet kernel density estimation for strongly mixing sequences on the simplex
por: Daayeb, Hanen, et al.
Publicado: (2025)

Semiparametric Uncertainty Quantification via Isotonized Posterior for Deconvolutions
por: Gili, Francesco, et al.
Publicado: (2026)

On the optimal prediction of extreme events in heavy-tailed time series with applications to solar flare forecasting
por: Verma, Victor, et al.
Publicado: (2024)

Unit-Weibull Autoregressive Moving Average Models
por: Pumi, Guilherme, et al.
Publicado: (2022)

Conditional distributions for the nested Dirichlet process via sequential imputation
por: Donald, Evan, et al.
Publicado: (2025)

Uniform Confidence Band for Optimal Transport Map on One-Dimensional Data
por: Ponnoprat, Donlapark, et al.
Publicado: (2023)

Distributional Conformal Prediction for Markov Processes
por: Dai, Dehao, et al.
Publicado: (2026)

Symmetrisation of a class of two-sample tests by mutually considering depth ranks including functional spaces
por: Gnettner, Felix, et al.
Publicado: (2023)

Simultaneous Detection and Localization of Mean and Covariance Changes in High Dimensions
por: Cui, Junfeng, et al.
Publicado: (2025)

High-Dimensional Change-Point Detection via Angular Kernel Statistics
por: Choudhury, Jyotishka Ray, et al.
Publicado: (2026)

Maximal Ancillarity, Semiparametric Efficiency, and the Elimination of Nuisances
por: Hallin, Marc, et al.
Publicado: (2026)

Statistical Inference for Bures-Wasserstein Flows
por: Santoro, Leonardo V., et al.
Publicado: (2023)

Discriminating Tail Behavior Using Halfspace Depths: Population and Empirical Perspectives
por: Singha, Sibsankar, et al.
Publicado: (2025)

Adaptation using spatially distributed Gaussian Processes
por: Szabo, Botond, et al.
Publicado: (2023)

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

Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
por: Zhang, Yikun, et al.
Publicado: (2025)