A new approach to estimator selection (Q1708984)

scientific article; zbMATH DE number 6853265

Language	Label	Description	Also known as
English	A new approach to estimator selection	scientific article; zbMATH DE number 6853265

Statements

instance of

scholarly article

0 references

title

A new approach to estimator selection (English)

0 references

published in

Bernoulli

0 references

publication date

27 March 2018

0 references

full work available at URL

https://projecteuclid.org/euclid.bj/1522051225

0 references

zbMATH Keywords

adaptive estimation

0 references

density model

0 references

generalized deconvolution model

0 references

oracle approach

0 references

upper function

0 references

0 references

0 references

On Bayesian testimation and its application to wavelet thresholding

0 references

A new method for estimation and model selection: $\rho$-estimation

0 references

Risk bounds for model selection via penalization

0 references

Gaussian model selection

0 references

Aggregation for Gaussian regression

0 references

Adaptive wavelet estimation: A block thresholding and oracle inequality approach

0 references

Risk hull method and regularization by projections of ill-posed inverse problems

0 references

Penalized blockwise Stein's method, monotone oracles and sharp adaptive estimation

0 references

Anisotropic adaptive kernel deconvolution

0 references

Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity

0 references

Nonasymptotic universal smoothing factors, kernel complexity and Yatracos classes

0 references

Simultaneous sharp estimation of functions and their derivatives

0 references

Local and Global Upper Functions for Random Fields

0 references

Q4255465

0 references

A universal procedure for aggregating estimators

0 references

Universal pointwise selection rule in multivariate function estimation

0 references

Structural adaptation via $\mathbb L_p$-norm oracle inequalities

0 references

Uniform bounds for norms of sums of independent random functions

0 references

Bandwidth selection in kernel density estimation: oracle inequalities and adaptive minimax optimality

0 references

On adaptive minimax density estimation on $\mathbb R^d$

0 references

General selection rule from a family of linear estimators

0 references

Deconvolving a density from partially contaminated observations

0 references

Nonparametric estimation of composite functions

0 references

Nonlinear estimation in anisotropic multi-index denoising

0 references

Nonlinear Estimation in Anisotropic Multi-Index Denoising. Sparse Case

0 references

Multivariate density estimation under sup-norm loss: oracle approach, adaptation and independence structure

0 references

Upper functions for positive random functionals. I: General setting and Gaussian random functions

0 references

Upper functions for positive random functionals. II. Application to the empirical processes theory. I

0 references

Upper functions for positive random functionals. II: Application to the empirical processes theory, Part 2

0 references

Adaptive estimation over anisotropic functional classes via oracle approach

0 references

Upper functions for $\mathbb{L}_{p}$-norms of Gaussian random fields

0 references

Adaptive minimax estimation of infinitely differentiable functions.

0 references

Lower bounds in the convolution structure density model

0 references

Concentration inequalities and model selection. Ecole d'Eté de Probabilités de Saint-Flour XXXIII -- 2003.

0 references

Q4511091

0 references

Q3961321

0 references

Structural adaptive deconvolution under ${\mathbb{L}_p}$-losses

0 references

Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis

0 references

Linear and convex aggregation of density estimators

0 references

On the subspaces of $L^p$ $(p > 2)$ spanned by sequences of independent random variables

0 references

Learning Theory and Kernel Machines

0 references

Q4944751

0 references

Weak convergence and empirical processes. With applications to statistics

0 references

Inequalities for the $r$th Absolute Moment of a Sum of Random Variables, $1 \leqq r \leqq 2$

0 references

Model selection in nonparametric regression

0 references

Identifiers

zbMATH Open document ID

1419.62016

0 references

DOI

10.3150/17-BEJ945

0 references

Mathematics Subject Classification ID

0 references

0 references

0 references

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:1708984