scientific article; zbMATH DE number 947421
From MaRDI portal
Publication:4715953
zbMath0857.62037MaRDI QIDQ4715953
Publication date: 6 March 1997
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
adaptive estimatormean integrated squared errorsmall samplesLe Cam's deficiency distancesmooth regression functionsharp optimalityheteroscedatic nonparametric regressionsignal-in-noise model
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)
Related Items
A conversation with Larry Brown, Nonparametric regression with the scale depending on auxiliary variable, Near-optimality of linear recovery in Gaussian observation scheme under \(\| \cdot \|_{2}^{2}\)-loss, Adaptive denoising of signals with local shift-invariant structure, Sharp oracle inequalities for aggregation of affine estimators, Nonparametric regression with responses missing at random and the scale depending on auxiliary covariates, Spatial adaptation in heteroscedastic regression: propagation approach, Model selection by resampling penalization, On the limit in the equivalence between heteroscedastic regression and filtering model., Wavelet‐based estimators for mixture regression, Near-optimality of linear recovery from indirect observations, Conditional density estimation in a regression setting, A maxiset approach of a Gaussian noise model, Asymptotically efficient estimators for nonparametric heteroscedastic regression models, Analysis of blockwise shrinkage wavelet estimates via lower bounds for no-signal setting, Minimax and bayes estimation in deconvolution problem, Nonparametric regression with responses missing at random, Adaptive asymptotically efficient estimation in heteroscedastic nonparametric regression, On polyhedral estimation of signals via indirect observations, On nonparametric regression for iid observations in a general setting, Adaptive prediction and estimation in linear regression with infinitely many parameters., Optimal prediction for linear regression with infinitely many parameters.
