Pages that link to "Item:Q3128737"
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The following pages link to Adapting to Unknown Smoothness via Wavelet Shrinkage (Q3128737):
Displaying 50 items.
- Asymptotic normality of estimating risk upon the wavelet-vaguelette decomposition of a signal function in a model with correlated noise (Q2018650) (← links)
- Bayesian wavelet shrinkage with beta priors (Q2032229) (← links)
- Automated data-driven selection of the hyperparameters for total-variation-based texture segmentation (Q2051545) (← links)
- Second-order Stein: SURE for SURE and other applications in high-dimensional inference (Q2054467) (← links)
- High-dimensional linear discriminant analysis using nonparametric methods (Q2062785) (← links)
- Asymptotics for \(L_1\)-wavelet method for nonparametric regression (Q2069557) (← links)
- Chaoticity versus stochasticity in financial markets: are daily S\&P 500 return dynamics chaotic? (Q2076249) (← links)
- Estimation of nonparametric regression models by wavelets (Q2082048) (← links)
- Distributed adaptive Gaussian mean estimation with unknown variance: interactive protocol helps adaptation (Q2091825) (← links)
- Information criteria bias correction for group selection (Q2093122) (← links)
- Penalized wavelet estimation and robust denoising for irregular spaced data (Q2095705) (← links)
- Relaxing the Gaussian assumption in shrinkage and SURE in high dimension (Q2105194) (← links)
- Rate of convergence of the risk estimate distribution to the normal law using FDR multiple hypothesis testing with inverting linear homogeneous operators (Q2107857) (← links)
- Canonical thresholding for nonsparse high-dimensional linear regression (Q2119237) (← links)
- Correlated tuple data release via differential privacy (Q2127123) (← links)
- Distributed nonparametric function estimation: optimal rate of convergence and cost of adaptation (Q2131252) (← links)
- Degrees of freedom for off-the-grid sparse estimation (Q2137058) (← links)
- Ultrasound speckle reduction using adaptive wavelet thresholding (Q2146504) (← links)
- Nonlinear wavelet-based estimation to spectral density for stationary non-Gaussian linear processes (Q2155801) (← links)
- Non-parametric news impact curve: a variational approach (Q2156537) (← links)
- Multiscale regression on unknown manifolds (Q2167604) (← links)
- The WQN algorithm to adaptively correct artifacts in the EEG signal (Q2168689) (← links)
- Robust change point detection method via adaptive LAD-Lasso (Q2175643) (← links)
- Computing the degrees of freedom of rank-regularized estimators and cousins (Q2180064) (← links)
- Posterior inference for sparse hierarchical non-stationary models (Q2189583) (← links)
- Dual-tree complex wavelet coefficient magnitude modeling using scale mixtures of Rayleigh distribution for image denoising (Q2193598) (← links)
- Simultaneous optimisation of clustering quality and approximation error for time series segmentation (Q2198027) (← links)
- From Gauss to Kolmogorov: localized measures of complexity for ellipses (Q2199701) (← links)
- Regression discontinuity designs, white noise models, and minimax (Q2227061) (← links)
- Uniform convergence rates for wavelet curve estimation in sup-norm loss (Q2229942) (← links)
- Local behavior of sparse analysis regularization: applications to risk estimation (Q2252165) (← links)
- Signal processing by alternate dual Gabor frames (Q2252173) (← links)
- Bayesian model selection and the concentration of the posterior of hyperparameters (Q2259290) (← links)
- A general result on the mean integrated squared error of the hard thresholding wavelet estimator under \(\alpha\)-mixing dependence (Q2260580) (← links)
- Spatial adaptive Bayesian wavelet threshold exploiting scale and space consistency (Q2271086) (← links)
- Treelets -- an adaptive multi-scale basis for sparse unordered data (Q2271330) (← links)
- Sparsity of solutions for variational inverse problems with finite-dimensional data (Q2278144) (← links)
- A parallel domain decomposition algorithm for large scale image denoising (Q2282745) (← links)
- Lasso meets horseshoe: a survey (Q2292393) (← links)
- Flexible, boundary adapted, nonparametric methods for the estimation of univariate piecewise-smooth functions (Q2293678) (← links)
- Effective new methods for automated parameter selection in regularized inverse problems (Q2301416) (← links)
- De-noising by thresholding operator adapted wavelets (Q2302448) (← links)
- Signal denoising using optimized trimmed thresholding (Q2312477) (← links)
- The asymptotic behavior of the optimal threshold minimizing the probability-of-error criterion (Q2313809) (← links)
- Construction of dual wavelet frame pairs and signal recovery (Q2321006) (← links)
- On the predictive risk in misspecified quantile regression (Q2330755) (← links)
- Entropy-based correlated shrinkage of spatial random processes (Q2333335) (← links)
- Wavelet thresholding in fixed design regression for Gaussian random fields (Q2338566) (← links)
- Matrix estimation by universal singular value thresholding (Q2338924) (← links)
- Optimal sampling and curve interpolation via wavelets (Q2339033) (← links)
