Imagen de Portada

A nonparametric distribution-free test of independence among continuous random vectors based on \texorpdfstring{$L_1$}{}-norm

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Berrahou, Nour-Eddine, Bouzebda, Salim, Douge, Lahcen
Formato:	Preprint
Publicado:	2021
Materias:	Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Sparsified-Learning for High-Dimensional Heavy-Tailed Locally Stationary Time Series, Concentration and Oracle Inequalities
por: Wang, Yingjie, et al.
Publicado: (2025)

Bounds in Wasserstein Distance for Locally Stationary Processes
por: Tinio, Jan Nino G., et al.
Publicado: (2024)

Bounds in Wasserstein Distance for Locally Stationary Functional Time Series
por: Tinio, Jan Nino G., et al.
Publicado: (2025)

Asymptotic theory for nonparametric testing of $k$-monotonicity in discrete distributions
por: Balabdaoui, Fadoua, et al.
Publicado: (2024)

A nonparametric Bayesian analysis of independent and identically distributed observations of covariate-driven Poisson processes
por: Dolmeta, Patric, et al.
Publicado: (2025)

An improved nonparametric test and sample size procedures for the randomized complete block designs
por: Jan, Show-Li, et al.
Publicado: (2025)

Smoothed nonparametric two-sample tests
por: Moriyama, Taku, et al.
Publicado: (2017)

Sharp adaptive nonparametric testing for constant volatility
por: Brutsche, Johannes, et al.
Publicado: (2026)

Optimal heteroskedasticity testing in nonparametric regression
por: Kotekal, Subhodh, et al.
Publicado: (2023)

A nonparametric test for rough volatility
por: Chong, Carsten H., et al.
Publicado: (2024)

Smoothed nonparametric tests and their properties
por: Maesono, Yoshihiko, et al.
Publicado: (2016)

A nonparametric test for diurnal variation in spot correlation processes
por: Christensen, Kim, et al.
Publicado: (2024)

Parametric and nonparametric probability distribution estimators of sample maximum
por: Moriyama, Taku
Publicado: (2021)

$L^2-$posterior contraction rates for Gaussian process and random series priors in Bayesian nonparametric regression models
por: Rosa, Paul
Publicado: (2025)

A nonparametric test of spherical symmetry applicable to high dimensional data
por: Banerjee, Bilol, et al.
Publicado: (2024)

Difference-based covariance matrix estimate in time series nonparametric regression with applications to specification tests
por: Bai, Lujia, et al.
Publicado: (2023)

Distribution-free tests of multivariate independence based on center-outward quadrant, Spearman, Kendall, and van der Waerden statistics
por: Shi, Hongjian, et al.
Publicado: (2021)

Test for high-dimensional mean vectors via the weighted $L_2$-norm
por: Li, Jianghao, et al.
Publicado: (2024)

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

Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
por: Lee, Jeyong, et al.
Publicado: (2022)

Exact exponential tail estimation for sums of independent centered random variables, under natural norming, with applications to the theory of U-statistics
por: Formica, M. R., et al.
Publicado: (2024)

Consistent complete independence test in high dimensions based on Chatterjee correlation coefficient
por: Xia, Liqi, et al.
Publicado: (2024)

Efficiency of nonparametric e-tests
por: Vovk, Vladimir, et al.
Publicado: (2022)

Smoothed NPMLEs in nonparametric Poisson mixtures and beyond
por: Lim, Keunwoo, et al.
Publicado: (2024)

Partial heteroscedastic deconvolution estimation in nonparametric regression
por: Thiam, Baba
Publicado: (2026)

Exact distribution-free tests of spherical symmetry applicable to high dimensional data
por: Banerjee, Bilol, et al.
Publicado: (2024)

Locally sharp goodness-of-fit testing in sup norm for high-dimensional counts
por: Kotekal, Subhodh, et al.
Publicado: (2024)

Likelihood-free hypothesis testing
por: Gerber, Patrik Róbert, et al.
Publicado: (2022)

Bayesian nonparametric statistics, St-Flour lecture notes
por: Castillo, Ismaël
Publicado: (2024)

Stochastic mirror descent for nonparametric adaptive importance sampling
por: Bianchi, Pascal, et al.
Publicado: (2024)

On a synergistic learning phenomenon in nonparametric domain adaptation
por: Zhou, Ling, et al.
Publicado: (2025)

Multivariate normality test based on the uniform distribution on the Stiefel manifold
por: Shimizu, Koki, et al.
Publicado: (2026)

Parametric convergence rate of some nonparametric estimators in mixtures of power series distributions
por: Balabdaoui, Fadoua, et al.
Publicado: (2025)

Efficiency of pattern-based independence test
por: Baringhaus, L., et al.
Publicado: (2026)

The saddlepoint approximation for averages of conditionally independent random variables
por: Niu, Ziang, et al.
Publicado: (2024)

Efficient nonparametric estimation of Toeplitz covariance matrices
por: Klockmann, Karolina, et al.
Publicado: (2023)

Bias Reduction for nonparametric Estimators applied to functional Data Analysis
por: Birke, Melanie, et al.
Publicado: (2025)

Universality in block dependent linear models with applications to nonparametric regression
por: Lahiry, Samriddha, et al.
Publicado: (2023)

Sometimes nonparametrics beat parametrics, even when the model is right
por: Byholt, Morten, et al.
Publicado: (2026)

Pseudo-likelihood-based $M$-estimation of random graphs with dependent edges and parameter vectors of increasing dimension
por: Stewart, Jonathan R., et al.
Publicado: (2020)