About: Estimation

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Attributs	Valeurs
type	Concept
skos:inScheme	MSC 2010
broader concept	Nonparametric inference
skos:prefLabel	Estimation Stima 估计
skos:exactMatch	http://msc2010.org/resources/MSC/1991/62G05 http://msc2010.org/resources/MSC/2000/62G05
skos:notation	62G05
skos:relatedMatch	http://msc2010.org/resources/MSC/2010/fullDD21-519.544
is Subject of	Using auxiliary information in statistical function estimation Concentration inequalities, counting processes and adaptive statistics Adaptive estimation of a quadratic functional of a density by model selection Nonparametric estimation of the derivatives of the stationary density for stationary processes Penalization versus Goldenshluger − Lepski strategies in warped bases regression Density smoothness estimation problem using a wavelet approach Model selection for Poisson processes with covariates A test for the equality of monotone transformations of two random variables Multidimensional limit theorems for smoothed extreme value estimates of point processes boundaries Risk hull method for spectral regularization in linear statistical inverse problems Estimating a discrete distribution via histogram selection Estimation in autoregressive model with measurement error Moderate deviations for the Durbin-Watson statistic related to the first-order autoregressive process Variable selection through CART Bootstrapping the shorth for regression A recursive nonparametric estimator for the transition kernel of a piecewise-deterministic Markov process A fully data-driven method for estimating the shape of a point cloud Random thresholds for linear model selection Estimation of the hazard function in a semiparametric model with covariate measurement error Nonparametric regression estimation based on spatially inhomogeneous data: minimax global convergence rates and adaptivity Asymptotic normality and efficiency of two Sobol index estimators Sharp variable selection of a sparse submatrix in a high-dimensional noisy matrix How many bins should be put in a regular histogram On pointwise adaptive curve estimation based on inhomogeneous data Model selection for quantum homodyne tomography Adaptive estimation of a density function using beta kernels Minimax and bayes estimation in deconvolution problem Nonparametric regression estimation onto a Poisson point process covariate Statistical estimation of jump rates for a piecewise deterministic Markov processes with deterministic increasing motion and jump mechanism Histogram selection in non Gaussian regression A comparison of automatic histogram constructions Uniform strong consistency of a frontier estimator using kernel regression on high order moments Model selection for estimating the non zero components of a Gaussian vector A graph-based estimator of the number of clusters Towards a universally consistent estimator of the Minkowski content Plug-in estimation of level sets in a non-compact setting with applications in multivariate risk theory A sharp analysis on the asymptotic behavior of the Durbin-Watson statistic for the first-order autoregressive process Unbiased risk estimation method for covariance estimation Segmentation of the Poisson and negative binomial rate models: a penalized estimator The law of the iterated logarithm for the multivariate kernel mode estimator On the asymptotic properties of a simple estimate of the Mode The Berry-Esseen bound of a wavelet estimator in non-randomly designed nonparametric regression model based on ANA errors Set estimation under biconvexity restrictions Quantifying the closeness to a set of random curves via the mean marginal likelihood Rate of convergence for geometric inference based on the empirical Christoffel function Bayesian learning with Wasserstein barycenters Robust estimation in finite mixture models Two modified conjugate gradient methods for solving unconstrained optimization and application The Output Least Squares Identifiability of the Diffusion Coefficient from an H 1-Observation in a 2-D Elliptic Equation Semiparametric deconvolution with unknown noise variance A scale-space approach with wavelets to singularity estimation Extreme values and kernel estimates of point processes boundaries Efficient estimation of functionals of the spectral density of stationary Gaussian fields Risk bounds for mixture density estimation Manifolds of differentiable densities Impact of subsampling and tree depth on random forests A consistent estimator to the orthant-based tail value-at-risk Rate optimal estimation of quadratic functionals in inverse problems with partially unknown operator and application to testing problems
is narrower concept of	Nonparametric inference

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