On kernel mode estimation under RLT and WOD model
Fuente:
arXiv
Saved in:
| Main Authors: | Alem, Mohamed Kaber El, Guessoum, Zohra, Tatachak, Abdelkader |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the convergence rate in the central limit theorem for linearly extended negative quadrant dependent random variables and its applications
by: Alem, Mohamed Kaber El, et al.
Published: (2025)
by: Alem, Mohamed Kaber El, et al.
Published: (2025)
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)
Volatility estimation from a view point of entropy
by: Akahori, Jirô, et al.
Published: (2024)
by: Akahori, Jirô, 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)
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)
Quantifying and testing dependence to categorical variables
by: Hörmann, Siegfried, et al.
Published: (2025)
by: Hörmann, Siegfried, 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)
Quadratic functional estimation from observations with multiplicative measurement error
by: Neubert, Bianca, et al.
Published: (2024)
by: Neubert, Bianca, et al.
Published: (2024)
Rates of convergence for nearest neighbor estimators with the smoother regression function
by: Ayano, Takanori
Published: (2011)
by: Ayano, Takanori
Published: (2011)
Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
by: Zhang, Yikun, et al.
Published: (2024)
by: Zhang, Yikun, et al.
Published: (2024)
Mode-based estimation of the center of symmetry
by: Chacón, José E., et al.
Published: (2024)
by: Chacón, José E., et al.
Published: (2024)
Inference with Mondrian Random Forests
by: Cattaneo, Matias D., et al.
Published: (2023)
by: Cattaneo, Matias D., et al.
Published: (2023)
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)
Nonparametric Bayesian inference for stochastic processes with piecewise constant priors
by: Belomestny, Denis, et al.
Published: (2023)
by: Belomestny, Denis, et al.
Published: (2023)
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)
Statistical properties of approximate geometric quantiles in infinite-dimensional Banach spaces
by: Romon, Gabriel
Published: (2022)
by: Romon, Gabriel
Published: (2022)
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)
Adaptive exact recovery in sparse nonparametric models
by: Stepanova, Natalia, et al.
Published: (2024)
by: Stepanova, Natalia, et al.
Published: (2024)
Exact variable selection in sparse nonparametric models
by: Stepanova, Natalia, et al.
Published: (2023)
by: Stepanova, Natalia, et al.
Published: (2023)
Extension of the one-sample Kolmogorov-Smirnov test
by: Komaba, Atsushi, et al.
Published: (2024)
by: Komaba, Atsushi, et al.
Published: (2024)
Adaptive almost full recovery in sparse nonparametric models
by: Stepanova, Natalia, et al.
Published: (2025)
by: Stepanova, Natalia, et al.
Published: (2025)
Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions
by: van der Spek, Rutger, et al.
Published: (2022)
by: van der Spek, Rutger, et al.
Published: (2022)
Kernel-based independence and mean independence tests for weakly dependent data
by: Diz-Castro, Daniel, et al.
Published: (2026)
by: Diz-Castro, Daniel, et al.
Published: (2026)
Minimax estimation of the structure factor of spatial point processes
by: Mastrilli, Gabriel
Published: (2025)
by: Mastrilli, Gabriel
Published: (2025)
The limit joint distributions of some statistics used in testing the quality of random number generators
by: Savelov, M. P.
Published: (2025)
by: Savelov, M. P.
Published: (2025)
Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
by: Zhang, Yikun, et al.
Published: (2025)
by: Zhang, Yikun, 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)
Even naive trees are consistent
by: Föge, Nico, et al.
Published: (2024)
by: Föge, Nico, et al.
Published: (2024)
TwinKernel Estimation for Point Process Intensity Functions: Adaptive Nonparametric Methods via Orbital Regularity
by: Nembé, Jocelyn
Published: (2025)
by: Nembé, Jocelyn
Published: (2025)
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)
Robust Estimation in Finite Mixture Models
by: Lecestre, Alexandre
Published: (2021)
by: Lecestre, Alexandre
Published: (2021)
From dense to sparse design: Optimal rates under the supremum norm for estimating the mean function in functional data analysis
by: Berger, Max, et al.
Published: (2023)
by: Berger, Max, et al.
Published: (2023)
Optimal Inference of the Mean Outcome under Optimal Treatment Regime
by: Xu, Shuoxun, et al.
Published: (2025)
by: Xu, Shuoxun, 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)
IAPO estimators in Exponentiated Frechet case
by: Jordanova, Pavlina, et al.
Published: (2025)
by: Jordanova, Pavlina, et al.
Published: (2025)
Large sample behavior of the least trimmed squares estimator
by: Zuo, Yijun
Published: (2022)
by: Zuo, Yijun
Published: (2022)
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)
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)
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)
Predictive Inference via Kernel Density Estimates
by: Hilbert, Torey
Published: (2026)
by: Hilbert, Torey
Published: (2026)
Similar Items
-
On the convergence rate in the central limit theorem for linearly extended negative quadrant dependent random variables and its applications
by: Alem, Mohamed Kaber El, et al.
Published: (2025) -
Uniform convergence of kernel averages under fixed design with heterogeneous dependent data
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026) -
Volatility estimation from a view point of entropy
by: Akahori, Jirô, et al.
Published: (2024) -
Estimating hazard rates from $δ$-records in discrete distributions
by: Alcalde, Martín, et al.
Published: (2025) -
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
by: Petersen, Alexander
Published: (2024)