Robust density estimation with the $\mathbb{L}_{1}$-loss. Applications to the estimation of a density on the line satisfying a shape constraint
Fuente:
arXiv
Saved in:
| Main Authors: | Baraud, Y., Halconruy, H., Maillard, G. |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Mode-based estimation of the center of symmetry
by: Chacón, José E., et al.
Published: (2024)
by: Chacón, José E., et al.
Published: (2024)
Robust Estimation in Finite Mixture Models
by: Lecestre, Alexandre
Published: (2021)
by: Lecestre, Alexandre
Published: (2021)
Nonparametric estimation of a factorizable density using diffusion models
by: Kwon, Hyeok Kyu, et al.
Published: (2025)
by: Kwon, Hyeok Kyu, et al.
Published: (2025)
Rejoinder to the discussion of "Mode-based estimation of the center of symmetry"
by: Chacón, José E., et al.
Published: (2025)
by: Chacón, José E., et al.
Published: (2025)
Tuning free Catoni type joint robust estimation
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
From robust tests to Bayes-like posterior distributions
by: Baraud, Yannick
Published: (2021)
by: Baraud, Yannick
Published: (2021)
Statistical Inference via T-Posterior Randomised Estimators
by: Baraud, Yannick
Published: (2026)
by: Baraud, Yannick
Published: (2026)
Minimax properties of gamma kernel density estimators under $L^p$ loss and $β$-Hölder smoothness of the target
by: Ouimet, Frédéric
Published: (2026)
by: Ouimet, Frédéric
Published: (2026)
Quadratic functional estimation from observations with multiplicative measurement error
by: Neubert, Bianca, et al.
Published: (2024)
by: Neubert, Bianca, et al.
Published: (2024)
General M-estimators of location on Riemannian manifolds: existence and uniqueness
by: Lee, Jongmin, et al.
Published: (2025)
by: Lee, Jongmin, et al.
Published: (2025)
Dirichlet kernel density estimation on the simplex with missing data
by: Daayeb, Hanen, et al.
Published: (2026)
by: Daayeb, Hanen, et al.
Published: (2026)
Volatility estimation from a view point of entropy
by: Akahori, Jirô, et al.
Published: (2024)
by: Akahori, Jirô, et al.
Published: (2024)
Nonparametric density estimation for stationary processes under multiplicative measurement errors
by: Dang, Duc Trong, et al.
Published: (2024)
by: Dang, Duc Trong, et al.
Published: (2024)
Regularized least squares learning with heavy-tailed noise is minimax optimal
by: Mollenhauer, Mattes, et al.
Published: (2025)
by: Mollenhauer, Mattes, et al.
Published: (2025)
Rates of convergence for nearest neighbor estimators with the smoother regression function
by: Ayano, Takanori
Published: (2011)
by: Ayano, Takanori
Published: (2011)
Bagging cross-validated bandwidths with application to Big Data
by: Barreiro-Ures, Daniel, et al.
Published: (2024)
by: Barreiro-Ures, Daniel, 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)
Asymptotic properties of the normalized discrete associated-kernel estimator for probability mass function
by: Esstafa, Youssef, et al.
Published: (2022)
by: Esstafa, Youssef, et al.
Published: (2022)
Bump hunting through density curvature features
by: Chacón, José E., et al.
Published: (2022)
by: Chacón, José E., et al.
Published: (2022)
A two-sample test for symmetric positive definite matrix distributions using Wishart kernel density estimators
by: Ouimet, Frédéric
Published: (2026)
by: Ouimet, Frédéric
Published: (2026)
On kernel mode estimation under RLT and WOD model
by: Alem, Mohamed Kaber El, et al.
Published: (2024)
by: Alem, Mohamed Kaber El, et al.
Published: (2024)
Estimating a density near an unknown manifold: a Bayesian nonparametric approach
by: Berenfeld, Clément, et al.
Published: (2022)
by: Berenfeld, Clément, et al.
Published: (2022)
Dirichlet kernel density estimation for strongly mixing sequences on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)
by: Daayeb, Hanen, et al.
Published: (2025)
The minimax optimal convergence rate of posterior density in the weighted orthogonal polynomials
by: Luo, Yiqi, et al.
Published: (2026)
by: Luo, Yiqi, et al.
Published: (2026)
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)
How should we aggregate ratings? Accounting for personal rating scales via Wasserstein barycenters
by: Raban, Daniel
Published: (2024)
by: Raban, Daniel
Published: (2024)
A new adaptive local polynomial density estimation procedure on complicated domains
by: Bertin, Karine, et al.
Published: (2023)
by: Bertin, Karine, et al.
Published: (2023)
Predictive Inference via Kernel Density Estimates
by: Hilbert, Torey
Published: (2026)
by: Hilbert, Torey
Published: (2026)
Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths
by: Somé, Sobom M., et al.
Published: (2022)
by: Somé, Sobom M., et al.
Published: (2022)
Bayesian taut splines for estimating the number of modes
by: Chacón, José E., et al.
Published: (2023)
by: Chacón, José E., et al.
Published: (2023)
Adaptive estimation of $\mathbb{L}_2$-norm of a probability density and related topics I. Lower bounds
by: Cleanthous, Galatia, et al.
Published: (2024)
by: Cleanthous, Galatia, et al.
Published: (2024)
Estimating hazard rates from $δ$-records in discrete distributions
by: Alcalde, Martín, et al.
Published: (2025)
by: Alcalde, Martín, et al.
Published: (2025)
Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models
by: Zuo, Yijun
Published: (2025)
by: Zuo, Yijun
Published: (2025)
Extension of the one-sample Kolmogorov-Smirnov test
by: Komaba, Atsushi, et al.
Published: (2024)
by: Komaba, Atsushi, et al.
Published: (2024)
Wishart kernel density estimation for strongly mixing time series on the cone of positive definite matrices
by: Belzile, Léo R., et al.
Published: (2025)
by: Belzile, Léo R., et al.
Published: (2025)
Two approaches to multiple canonical correlation analysis for repeated measures data
by: Górecki, Tomasz, et al.
Published: (2025)
by: Górecki, Tomasz, et al.
Published: (2025)
Adaptive estimation of the $\mathbb{L}_2$-norm of a probability density and related topics II. Upper bounds via the oracle approach
by: Cleanthous, Galatia, et al.
Published: (2024)
by: Cleanthous, Galatia, et al.
Published: (2024)
Uniform convergence of kernel averages under fixed design with heterogeneous dependent data
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026)
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026)
A hybrid-Hill estimator enabled by heavy-tailed block maxima
by: Neves, Claudia, et al.
Published: (2025)
by: Neves, Claudia, et al.
Published: (2025)
Similar Items
-
Estimating a regression function under possible heteroscedastic and heavy-tailed errors. Application to shape-restricted regression
by: Baraud, Yannick, et al.
Published: (2025) -
Mode-based estimation of the center of symmetry
by: Chacón, José E., et al.
Published: (2024) -
Robust Estimation in Finite Mixture Models
by: Lecestre, Alexandre
Published: (2021) -
Nonparametric estimation of a factorizable density using diffusion models
by: Kwon, Hyeok Kyu, et al.
Published: (2025) -
Rejoinder to the discussion of "Mode-based estimation of the center of symmetry"
by: Chacón, José E., et al.
Published: (2025)