Partial heteroscedastic deconvolution estimation in nonparametric regression
Fuente:
arXiv
Saved in:
| Main Author: | Thiam, Baba |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Polynomial rates via deconvolution for nonparametric estimation in McKean-Vlasov SDEs
by: Amorino, Chiara, et al.
Published: (2024)
by: Amorino, Chiara, et al.
Published: (2024)
Support estimation in high-dimensional heteroscedastic mean regression
by: Hermann, Philipp, et al.
Published: (2020)
by: Hermann, Philipp, et al.
Published: (2020)
Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity
by: Yeon, Hyemin, et al.
Published: (2023)
by: Yeon, Hyemin, et al.
Published: (2023)
Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)
by: Peng, Jingfu, et al.
Published: (2025)
Optimal heteroskedasticity testing in nonparametric regression
by: Kotekal, Subhodh, et al.
Published: (2023)
by: Kotekal, Subhodh, et al.
Published: (2023)
Minimax Optimal rates of convergence in the shuffled regression, unlinked regression, and deconvolution under vanishing noise
by: Durot, Cecile, et al.
Published: (2024)
by: Durot, Cecile, et al.
Published: (2024)
Robust Bayesian estimation in conditionally heteroscedastic time series models
by: Lee, Jeongho, et al.
Published: (2026)
by: Lee, Jeongho, et al.
Published: (2026)
Difference-based covariance matrix estimate in time series nonparametric regression with applications to specification tests
by: Bai, Lujia, et al.
Published: (2023)
by: Bai, Lujia, et al.
Published: (2023)
Performance of the empirical median for location estimation in heteroscedastic settings
by: Louati, Sirine
Published: (2025)
by: Louati, Sirine
Published: (2025)
Universality in block dependent linear models with applications to nonparametric regression
by: Lahiry, Samriddha, et al.
Published: (2023)
by: Lahiry, Samriddha, et al.
Published: (2023)
Covariate shift in nonparametric regression with Markovian design
by: Trottner, Lukas
Published: (2023)
by: Trottner, Lukas
Published: (2023)
Adaptive estimation for nonparametric circular regression with errors in variables
by: Nguyen, Tien Dat, et al.
Published: (2025)
by: Nguyen, Tien Dat, et al.
Published: (2025)
Tessellation Localized Transfer learning for nonparametric regression
by: Halconruy, Hélène, et al.
Published: (2026)
by: Halconruy, Hélène, et al.
Published: (2026)
Characterizing the minimax rate of nonparametric regression under bounded star-shaped constraints
by: Prasadan, Akshay, et al.
Published: (2024)
by: Prasadan, Akshay, et al.
Published: (2024)
Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models
by: Zheng, Nan, et al.
Published: (2024)
by: Zheng, Nan, et al.
Published: (2024)
Minimax rates of convergence for nonparametric regression under adversarial attacks
by: Peng, Jingfu, et al.
Published: (2024)
by: Peng, Jingfu, et al.
Published: (2024)
Parametric and nonparametric probability distribution estimators of sample maximum
by: Moriyama, Taku
Published: (2021)
by: Moriyama, Taku
Published: (2021)
Trends in tail dependence of heteroscedastic extremes
by: Einmahl, John H. J., et al.
Published: (2026)
by: Einmahl, John H. J., et al.
Published: (2026)
Efficient nonparametric estimation of Toeplitz covariance matrices
by: Klockmann, Karolina, et al.
Published: (2023)
by: Klockmann, Karolina, et al.
Published: (2023)
Asymptotic equivalence for nonparametric additive regression
by: Jirak, Moritz, et al.
Published: (2026)
by: Jirak, Moritz, et al.
Published: (2026)
Support estimation and sign recovery in high‐dimensional heteroscedastic mean regression
by: Philipp Hermann, et al.
Published: (2025)
by: Philipp Hermann, et al.
Published: (2025)
$L^2-$posterior contraction rates for Gaussian process and random series priors in Bayesian nonparametric regression models
by: Rosa, Paul
Published: (2025)
by: Rosa, Paul
Published: (2025)
Rate-optimal and computationally efficient nonparametric estimation on the circle and the sphere
by: Georgiadis, Athanasios G., et al.
Published: (2025)
by: Georgiadis, Athanasios G., et al.
Published: (2025)
A new method of joint nonparametric estimation of probability density and its support
by: Moriyama, Taku
Published: (2017)
by: Moriyama, Taku
Published: (2017)
Local convergence rates of the nonparametric least squares estimator with applications to transfer learning
by: Schmidt-Hieber, Johannes, et al.
Published: (2022)
by: Schmidt-Hieber, Johannes, et al.
Published: (2022)
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
by: Lee, Jeyong, et al.
Published: (2022)
by: Lee, Jeyong, et al.
Published: (2022)
Multiplicative deconvolution under unknown error distribution
by: Miguel, Sergio Brenner, et al.
Published: (2023)
by: Miguel, Sergio Brenner, et al.
Published: (2023)
Efficient adjustment sets for time-dependent treatment effect estimation in nonparametric causal graphical model
by: Adenyo, David, et al.
Published: (2024)
by: Adenyo, David, et al.
Published: (2024)
Minimax rates of convergence for the nonparametric estimation of the diffusion coefficient from time-homogeneous SDE paths
by: Mintsa, Eddy Michel Ella
Published: (2025)
by: Mintsa, Eddy Michel Ella
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)
On estimation of skewed stable linear regression
by: Kawamo, Eitaro, et al.
Published: (2024)
by: Kawamo, Eitaro, et al.
Published: (2024)
Optimal nonparametric estimation of the expected shortfall risk
by: Bartl, Daniel, et al.
Published: (2024)
by: Bartl, Daniel, et al.
Published: (2024)
Smoothed nonparametric two-sample tests
by: Moriyama, Taku, et al.
Published: (2017)
by: Moriyama, Taku, et al.
Published: (2017)
Conditional nonparametric variable screening by neural factor regression
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Sharp adaptive nonparametric testing for constant volatility
by: Brutsche, Johannes, et al.
Published: (2026)
by: Brutsche, Johannes, et al.
Published: (2026)
Smoothed NPMLEs in nonparametric Poisson mixtures and beyond
by: Lim, Keunwoo, et al.
Published: (2024)
by: Lim, Keunwoo, et al.
Published: (2024)
Existence of Firth's modified estimates in binomial regression models
by: Ogawa, Mitsunori, et al.
Published: (2023)
by: Ogawa, Mitsunori, et al.
Published: (2023)
On the pointwise and sup-norm errors for local regression estimators
by: Bettinger, Jérémy, et al.
Published: (2025)
by: Bettinger, Jérémy, et al.
Published: (2025)
Increasing domain asymptotics for covariate-based nonparametric Bayesian intensity estimation with Gaussian and Besov-Laplace priors
by: Dolmeta, Patric, et al.
Published: (2026)
by: Dolmeta, Patric, et al.
Published: (2026)
Parametric convergence rate of some nonparametric estimators in mixtures of power series distributions
by: Balabdaoui, Fadoua, et al.
Published: (2025)
by: Balabdaoui, Fadoua, et al.
Published: (2025)
Similar Items
-
Polynomial rates via deconvolution for nonparametric estimation in McKean-Vlasov SDEs
by: Amorino, Chiara, et al.
Published: (2024) -
Support estimation in high-dimensional heteroscedastic mean regression
by: Hermann, Philipp, et al.
Published: (2020) -
Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity
by: Yeon, Hyemin, et al.
Published: (2023) -
Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025) -
Optimal heteroskedasticity testing in nonparametric regression
by: Kotekal, Subhodh, et al.
Published: (2023)