:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Fan, Jianqing, Gu, Yihong, Li, Ximing
Formato:	Preprint
Publicado:	2025
Materias:	Statistics Theory 62G07
Acceso en línea:	https://arxiv.org/abs/2510.03994
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Nonparametric estimation of a factorizable density using diffusion models
por: Kwon, Hyeok Kyu, et al.
Publicado: (2025)

Optimal empirical Bayes estimation for the Poisson model via minimum-distance methods
por: Jana, Soham, et al.
Publicado: (2022)

CINDES: Classification induced neural density estimator and simulator
por: Dai, Dehao, et al.
Publicado: (2025)

Density estimation using the perceptron
por: Gerber, Patrik Róbert, et al.
Publicado: (2023)

Tweedie-based nonparametric estimation for semicontinuous mixed densities
por: Lyu, Guanjie, et al.
Publicado: (2026)

Robust density estimation with the $\mathbb{L}_{1}$-loss. Applications to the estimation of a density on the line satisfying a shape constraint
por: Baraud, Y., et al.
Publicado: (2022)

Minimax properties of gamma kernel density estimators under $L^p$ loss and $β$-Hölder smoothness of the target
por: Ouimet, Frédéric
Publicado: (2026)

Kernel density estimation with polyspherical data and its applications
por: García-Portugués, Eduardo, et al.
Publicado: (2024)

Nonparametric density estimation for stationary processes under multiplicative measurement errors
por: Dang, Duc Trong, et al.
Publicado: (2024)

On the minimax optimality of Flow Matching through the connection to kernel density estimation
por: Kunkel, Lea, et al.
Publicado: (2025)

A supervised deep learning method for nonparametric density estimation
por: Bos, Thijs, et al.
Publicado: (2023)

The minimax optimal convergence rate of posterior density in the weighted orthogonal polynomials
por: Luo, Yiqi, et al.
Publicado: (2026)

Asymptotic properties of the normalized discrete associated-kernel estimator for probability mass function
por: Esstafa, Youssef, et al.
Publicado: (2022)

Estimating a density near an unknown manifold: a Bayesian nonparametric approach
por: Berenfeld, Clément, et al.
Publicado: (2022)

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

Quadratic functional estimation from observations with multiplicative measurement error
por: Neubert, Bianca, et al.
Publicado: (2024)

Dirichlet kernel density estimation on the simplex with missing data
por: Daayeb, Hanen, et al.
Publicado: (2026)

Distribution estimation via Flow Matching with Lipschitz guarantees
por: Kunkel, Lea
Publicado: (2025)

Mode-based estimation of the center of symmetry
por: Chacón, José E., et al.
Publicado: (2024)

Optimal break tests for large linear time series models
por: Gupta, Abhimanyu, et al.
Publicado: (2025)

Adaptation to inhomogeneous smoothness for densities with irregularities
por: Duval, Céline, et al.
Publicado: (2024)

An effective estimation of multivariate density functions using extended-beta kernels with Bayesian adaptive bandwidths
por: Somé, Sobom M., et al.
Publicado: (2025)

A new adaptive local polynomial density estimation procedure on complicated domains
por: Bertin, Karine, et al.
Publicado: (2023)

Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths
por: Somé, Sobom M., et al.
Publicado: (2022)

Asymptotic normality and strong consistency of kernel regression estimation in q-calculus
por: Nkou, Emmanuel De Dieu, et al.
Publicado: (2025)

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

Adaptive Density Estimation Using Projection Kernels and Penalized Comparison to Overfitting
por: Hoang, Van Ha, et al.
Publicado: (2025)

Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
por: Gu, Yihong, et al.
Publicado: (2024)

On nonparametric estimation of the interaction function in particle system models
por: Belomestny, Denis, et al.
Publicado: (2024)

ICS for complex data with application to outlier detection for density data
por: Mondon, Camille, et al.
Publicado: (2025)

Frontiers to the learning of nonparametric hidden Markov models
por: Abraham, Kweku, et al.
Publicado: (2023)

The Cost of Adaptation under Differential Privacy: Optimal Adaptive Federated Density Estimation
por: Cai, T. Tony, et al.
Publicado: (2025)

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

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

Measure estimation on a manifold explored by a diffusion process
por: Divol, Vincent, et al.
Publicado: (2024)

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise
por: Li, Keyi, et al.
Publicado: (2025)

New Empirical Process Tools and Their Applications to Robust Deep ReLU Networks and Phase Transitions for Nonparametric Regression
por: Ding, Yizhe, et al.
Publicado: (2025)

Blessing of dimensionality in cross-validated bandwidth selection on the sphere
por: Chacón, José E., et al.
Publicado: (2026)

Composite Lp-quantile regression, near quantile regression and the oracle model selection theory
por: Mou, Fuming Lin WEilin
Publicado: (2025)

Tuning free Catoni type joint robust estimation
por: Li, Xiang, et al.
Publicado: (2025)