About: Asymptotic properties

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Attributs	Valeurs
type	Concept
skos:inScheme	MSC 2010
broader concept	Nonparametric inference
skos:prefLabel	Asymptotic properties ProprietÃ¡ asintotiche 渐近性质
skos:exactMatch	http://msc2010.org/resources/MSC/1991/62G20 http://msc2010.org/resources/MSC/2000/62G20
skos:notation	62G20
is Subject of	Detecting abrupt changes in random fields Using auxiliary information in statistical function estimation Adaptive estimation of a quadratic functional of a density by model selection Asymptotic equivalence for inhomogeneous jump diffusion processes and white noise On Asymptotic Minimaxity of Kernel-based Tests Asymptotic behaviour of the probability-weighted moments and penultimate approximation Density estimation with quadratic loss: a confidence intervals method Risk hull method for spectral regularization in linear statistical inverse problems Estimation in autoregressive model with measurement error 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 Asymptotic unbiased density estimators How the result of graph clustering methods depends on the construction of the graph Non-asymptotic oracle inequalities for the Lasso and Group Lasso in high dimensional logistic model A fully data-driven method for estimating the shape of a point cloud Nonparametric regression estimation based on spatially inhomogeneous data: minimax global convergence rates and adaptivity Consistent non-parametric Bayesian estimation for a time-inhomogeneous Brownian motion Asymptotic normality and efficiency of two Sobol index estimators Sharp variable selection of a sparse submatrix in a high-dimensional noisy matrix Integrated depth for functional data: statistical properties and consistency Seeking relevant information from a statistical model Adaptive tests for periodic signal detection with applications to laser vibrometry Adaptive density estimation under weak dependence Adaptive estimation of a density function using beta kernels Iterative isotonic regression Posterior contraction rate for non-parametric Bayesian estimation of the dispersion coefficient of a stochastic differential equation Statistical estimation of jump rates for a piecewise deterministic Markov processes with deterministic increasing motion and jump mechanism Uniform strong consistency of a frontier estimator using kernel regression on high order moments A graph-based estimator of the number of clusters Plug-in estimation of level sets in a non-compact setting with applications in multivariate risk theory Adaptive density estimation for clustering with Gaussian mixtures Recursive bias estimation for multivariate regression smoothers Local polynomial estimation of the mean function and its derivatives based on functional data and regular designs The law of the iterated logarithm for the multivariate kernel mode estimator Raking-ratio empirical process with auxiliary information learning The probabilities of large deviations for a certain class of statistics associated with multinomial distribution Optimal convergence rates for the invariant density estimation of jump-diffusion processes Bayesian learning with Wasserstein barycenters On the intermediate asymptotic efficiency of goodness-of-fit tests in multinomial distributions Goodness of fit test for isotonic regression Penultimate approximation for the distribution of the excesses Extreme values and kernel estimates of point processes boundaries U-Statistics on bipartite exchangeable networks Minimax nonparametric hypothesis testing for ellipsoids and Besov bodies Exact adaptive pointwise estimation on Sobolev classes of densities Adaptive tests of qualitative hypotheses Risk bounds for mixture density estimation Impact of subsampling and tree depth on random forests A consistent estimator to the orthant-based tail value-at-risk Intermediate efficiency in nonparametric testing problems with an application to some weighted statistics Statistical estimation of conditional Shannon entropy Wald Statistics in high-dimensional PCA
is narrower concept of	Nonparametric inference

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