Nonparametric Regression for Random Unbiased Perturbations
Fuente:
arXiv
Saved in:
| Main Authors: | Lyubarskaja, Anna, Rothenhäusler, Dominik |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Minimax Theory of Nonparametric Regression Under Covariate Shift
by: Zamolodtchikov, Petr
Published: (2026)
by: Zamolodtchikov, Petr
Published: (2026)
On deviation probabilities in non-parametric regression with heavy-tailed noise
by: Ben-Hamou, Anna, et al.
Published: (2023)
by: Ben-Hamou, Anna, et al.
Published: (2023)
Average Marginal Effects in One-Step Partially Linear Instrumental Regressions
by: Girard, Lucas, et al.
Published: (2026)
by: Girard, Lucas, et al.
Published: (2026)
Adaptive Geometric Regression for High-Dimensional Structured Data
by: Gajer, Pawel, et al.
Published: (2025)
by: Gajer, Pawel, et al.
Published: (2025)
Estimating a regression function under possible heteroscedastic and heavy-tailed errors. Application to shape-restricted regression
by: Baraud, Yannick, et al.
Published: (2025)
by: Baraud, Yannick, et al.
Published: (2025)
Generative Modelling via Quantile Regression
by: Schmidt-Hieber, Johannes, et al.
Published: (2024)
by: Schmidt-Hieber, Johannes, et al.
Published: (2024)
Single-index models for extreme value index regression
by: Yoshida, Takuma
Published: (2022)
by: Yoshida, Takuma
Published: (2022)
Asymptotic theory for extreme value generalized additive models
by: Yoshida, Takuma
Published: (2023)
by: Yoshida, Takuma
Published: (2023)
New Risk Bounds for 2D Total Variation Denoising
by: Chatterjee, Sabyasachi, et al.
Published: (2019)
by: Chatterjee, Sabyasachi, et al.
Published: (2019)
Noise-resilient penalty operators based on statistical differentiation schemes
by: Vidal, Marc, et al.
Published: (2026)
by: Vidal, Marc, et al.
Published: (2026)
Robust Tail Index Estimation under Random Censoring via Minimum Density Power Divergence
by: Guesmia, Nour Elhouda, et al.
Published: (2025)
by: Guesmia, Nour Elhouda, et al.
Published: (2025)
A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data
by: Gharbi, Rihab, et al.
Published: (2025)
by: Gharbi, Rihab, et al.
Published: (2025)
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints
by: Cai, T. Tony, et al.
Published: (2024)
by: Cai, T. Tony, et al.
Published: (2024)
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
by: Novo, Silvia, et al.
Published: (2024)
by: Novo, Silvia, et al.
Published: (2024)
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
by: Auddy, Arnab, et al.
Published: (2024)
by: Auddy, Arnab, et al.
Published: (2024)
Asymptotic equivalence of non-parametric regression with spherical regressors and Gaussian white noise
by: Kroll, Martin
Published: (2025)
by: Kroll, Martin
Published: (2025)
Adaptation using spatially distributed Gaussian Processes
by: Szabo, Botond, et al.
Published: (2023)
by: Szabo, Botond, et al.
Published: (2023)
Symmetry: a General Structure in Nonparametric Regression
by: Christie, Louis G., et al.
Published: (2024)
by: Christie, Louis G., et al.
Published: (2024)
Robust and Smooth Estimation of the Extreme Tail Index via Weighted Minimum Density Power Divergence
by: Mancer, Saida, et al.
Published: (2025)
by: Mancer, Saida, et al.
Published: (2025)
Robust density estimation with the $\mathbb{L}_{1}$-loss. Applications to the estimation of a density on the line satisfying a shape constraint
by: Baraud, Y., et al.
Published: (2022)
by: Baraud, Y., et al.
Published: (2022)
Asymptotic confidence bands for the histogram regression estimator
by: Neumeyer, Natalie, et al.
Published: (2025)
by: Neumeyer, Natalie, et al.
Published: (2025)
Distributional Conformal Prediction for Markov Processes
by: Dai, Dehao, et al.
Published: (2026)
by: Dai, Dehao, et al.
Published: (2026)
Dirichlet kernel density estimation on the simplex with missing data
by: Daayeb, Hanen, et al.
Published: (2026)
by: Daayeb, Hanen, et al.
Published: (2026)
Inference with Mondrian Random Forests
by: Cattaneo, Matias D., et al.
Published: (2023)
by: Cattaneo, Matias D., et al.
Published: (2023)
Spectral Bayesian Regression on the Sphere
by: Durastanti, Claudio
Published: (2026)
by: Durastanti, Claudio
Published: (2026)
Importance sampling for Sobol' indices estimation
by: Boucharif, Haythem, et al.
Published: (2025)
by: Boucharif, Haythem, et al.
Published: (2025)
Estimating a Function and Its Derivatives Under a Smoothness Condition
by: Lim, Eunji
Published: (2024)
by: Lim, Eunji
Published: (2024)
Rates of convergence for nearest neighbor estimators with the smoother regression function
by: Ayano, Takanori
Published: (2011)
by: Ayano, Takanori
Published: (2011)
Adaptive thresholding for wavelet-based nonparametric heteroskedastic variance estimation on the sphere
by: Durastanti, Claudio, et al.
Published: (2026)
by: Durastanti, Claudio, et al.
Published: (2026)
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
by: Petersen, Alexander
Published: (2024)
by: Petersen, Alexander
Published: (2024)
Batch learning equals online learning in Bayesian supervised learning
by: Lê, Hông Vân
Published: (2025)
by: Lê, Hông Vân
Published: (2025)
Asymptotic confidence bands for centered purely random forests
by: Neumeyer, Natalie, et al.
Published: (2025)
by: Neumeyer, Natalie, et al.
Published: (2025)
Adaptive almost full recovery in sparse nonparametric models
by: Stepanova, Natalia, et al.
Published: (2025)
by: Stepanova, Natalia, et al.
Published: (2025)
Adaptive exact recovery in sparse nonparametric models
by: Stepanova, Natalia, et al.
Published: (2024)
by: Stepanova, Natalia, et al.
Published: (2024)
Strong consistency of the local linear estimator for a generalized regression function with dependent functional data
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026)
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026)
Exact variable selection in sparse nonparametric models
by: Stepanova, Natalia, et al.
Published: (2023)
by: Stepanova, Natalia, et al.
Published: (2023)
Nonparametric local polynomial regression for functional covariates
by: Jirak, Moritz, et al.
Published: (2025)
by: Jirak, Moritz, et al.
Published: (2025)
Is model selection possible for the $\ell_p$-loss? PCO estimation for regression models
by: Lacour, Claire, et al.
Published: (2025)
by: Lacour, Claire, et al.
Published: (2025)
Semiparametric Bernstein-von Mises Phenomenon via Isotonized Posterior in Wicksell's problem
by: Gili, Francesco, et al.
Published: (2025)
by: Gili, Francesco, et al.
Published: (2025)
Asymptotically efficient estimation under local constraint in Wicksell's problem
by: Gili, Francesco, et al.
Published: (2024)
by: Gili, Francesco, et al.
Published: (2024)
Similar Items
-
A Minimax Theory of Nonparametric Regression Under Covariate Shift
by: Zamolodtchikov, Petr
Published: (2026) -
On deviation probabilities in non-parametric regression with heavy-tailed noise
by: Ben-Hamou, Anna, et al.
Published: (2023) -
Average Marginal Effects in One-Step Partially Linear Instrumental Regressions
by: Girard, Lucas, et al.
Published: (2026) -
Adaptive Geometric Regression for High-Dimensional Structured Data
by: Gajer, Pawel, et al.
Published: (2025) -
Estimating a regression function under possible heteroscedastic and heavy-tailed errors. Application to shape-restricted regression
by: Baraud, Yannick, et al.
Published: (2025)