About: Density estimation

Documentation

scienceplus.abes.fr version Bêta

scienceplus.abes.fr | explorer

À propos de : Density estimation Goto Sponge NotDistinct Permalink

Attributs	Valeurs
type	Concept
skos:inScheme	MSC 2010
broader concept	Nonparametric inference
skos:prefLabel	Density estimation Stima di densitÃ¡ 密度估计
skos:exactMatch	http://msc2010.org/resources/MSC/2000/62G07
skos:closeMatch	from MSC1991 value of: Curve estimation (nonparametric regression, density estimation, etc.)
skos:notation	62G07
skos:relatedMatch	http://msc2010.org/resources/MSC/2010/fullDD21-519.544
is Subject of	Adaptive estimation of the stationary density of discrete and continuous time mixing processes Data-driven penalty calibration: A case study for Gaussian mixture model selection Local Asymptotic Normality Property for Lacunar Wavelet Series multifractal model Model selection for regression on a random design Smoothness of Metropolis-Hastings algorithm and application to entropy estimation Density smoothness estimation problem using a wavelet approach A non asymptotic penalized criterion for Gaussian mixture model selection Density estimation with quadratic loss: a confidence intervals method Nonparametric estimation of the density of the alternative hypothesis in a multiple testing setup. Application to local false discovery rate estimation Variable selection through CART Unbiased group-wise alignment by iterative central tendency estimations Stein estimation for infinitely divisible laws Dependent Lindeberg central limit theorem and some applications Asymptotic unbiased density estimators Penalized estimators for non linear inverse problems Adaptive density estimation under weak dependence Adaptive estimation of a density function using beta kernels Adaptive non-asymptotic confidence balls in density estimation A comparison of automatic histogram constructions A central limit theorem for triangular arrays of weakly dependent random variables, with applications in statistics Adaptive density estimation for clustering with Gaussian mixtures Recursive bias estimation for multivariate regression smoothers Segmentation of the Poisson and negative binomial rate models: a penalized estimator Partially linear estimation using sufficient dimension reduction Quantifying the closeness to a set of random curves via the mean marginal likelihood Variable bandwidth kernel regression estimation Optimal convergence rates for the invariant density estimation of jump-diffusion processes Numerical performance of penalized comparison to overfitting for multivariate kernel density estimation Robust estimation in finite mixture models Maximum Entropy on the Mean approach to solve generalized inverse problems with an application in computational thermodynamics Semiparametric deconvolution with unknown noise variance Risk bounds for mixture density estimation
is narrower concept of	Nonparametric inference

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata