Copertina

Minimax properties of gamma kernel density estimators under $L^p$ loss and $β$-Hölder smoothness of the target

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Ouimet, Frédéric
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Statistics Theory Probability 62G07, 62G05, 62G20
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Wishart kernel density estimation for strongly mixing time series on the cone of positive definite matrices
di: Belzile, Léo R., et al.
Pubblicazione: (2025)

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

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

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

Normal approximations for the multivariate inverse Gaussian distribution and asymmetric kernel smoothing on $d$-dimensional half-spaces
di: Belzile, Léo R., et al.
Pubblicazione: (2022)

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

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

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

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

A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data
di: Gharbi, Rihab, et al.
Pubblicazione: (2025)

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

Asymptotic properties of the multivariate Szász-Mirakyan estimator for cumulative distribution functions on the nonnegative orthant
di: Lyu, Guanjie, et al.
Pubblicazione: (2026)

Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels
di: Genest, Christian, et al.
Pubblicazione: (2024)

On the Bernstein-smoothed lower-tail Spearman's rho estimator
di: Ouimet, Frédéric, et al.
Pubblicazione: (2025)

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

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

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

Minimax rates for learning kernels in operators
di: Zhang, Sichong, et al.
Pubblicazione: (2025)

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

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

Adaptive estimation of $\mathbb{L}_2$-norm of a probability density and related topics I. Lower bounds
di: Cleanthous, Galatia, et al.
Pubblicazione: (2024)

Adaptive estimation of the $\mathbb{L}_2$-norm of a probability density and related topics II. Upper bounds via the oracle approach
di: Cleanthous, Galatia, et al.
Pubblicazione: (2024)

On the Dirichlet-kernel Gasser--Müller estimator and its competitors for fixed design regression on the simplex
di: Daayeb, Hanen, et al.
Pubblicazione: (2025)

On kernel mode estimation under RLT and WOD model
di: Alem, Mohamed Kaber El, et al.
Pubblicazione: (2024)

Asymptotically efficient estimation under local constraint in Wicksell's problem
di: Gili, Francesco, et al.
Pubblicazione: (2024)

IAPO estimators in Exponentiated Frechet case
di: Jordanova, Pavlina, et al.
Pubblicazione: (2025)

A Minimax Theory of Nonparametric Regression Under Covariate Shift
di: Zamolodtchikov, Petr
Pubblicazione: (2026)

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

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

Robust Tail Index Estimation under Random Censoring via Minimum Density Power Divergence
di: Guesmia, Nour Elhouda, et al.
Pubblicazione: (2025)

Deconvolution of Arbitrary Distribution Functions and Densities
di: Kaiser, Henrik
Pubblicazione: (2025)

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

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

Uniform convergence of kernel averages under fixed design with heterogeneous dependent data
di: Matsuoka, Danilo Hiroshi, et al.
Pubblicazione: (2026)

Asymptotic Normality of Chatterjee's Rank Correlation
di: Kroll, Marius
Pubblicazione: (2024)

Where does the tail start? Inflection Points and Maximum Curvature as Boundaries
di: Cabral, Rafael, et al.
Pubblicazione: (2024)

Robust and Smooth Estimation of the Extreme Tail Index via Weighted Minimum Density Power Divergence
di: Mancer, Saida, et al.
Pubblicazione: (2025)

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

PC Adjusted Testing for Low Dimensional Parameters
di: Bhattacharya, Sohom, et al.
Pubblicazione: (2022)