Pages that link to "Item:Q2583417"
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The following pages link to Empirical Bayes selection of wavelet thresholds (Q2583417):
Displaying 50 items.
- Regression in random design and Bayesian warped wavelets estimators (Q1952018) (← links)
- Penalized wavelets: embedding wavelets into semiparametric regression (Q1952243) (← links)
- Bayesian wavelet shrinkage with beta priors (Q2032229) (← links)
- A semiparametric mixture method for local false discovery rate estimation from multiple studies (Q2044249) (← links)
- Spike and slab Pólya tree posterior densities: adaptive inference (Q2077332) (← links)
- Estimation of nonparametric regression models by wavelets (Q2082048) (← links)
- Sparse linear mixed model selection via streamlined variational Bayes (Q2084474) (← links)
- Separable nonlinear least-squares parameter estimation for complex dynamic systems (Q2175990) (← links)
- Image denoising in steerable pyramid domain based on a local Laplace prior (Q2270859) (← links)
- Spike and slab empirical Bayes sparse credible sets (Q2278657) (← links)
- Flexible, boundary adapted, nonparametric methods for the estimation of univariate piecewise-smooth functions (Q2293678) (← links)
- Entropy-based correlated shrinkage of spatial random processes (Q2333335) (← links)
- Adaptive estimation over anisotropic functional classes via oracle approach (Q2352739) (← links)
- \(\Lambda\)-neighborhood wavelet shrinkage (Q2359497) (← links)
- Wavelet-based noise reduction by joint statistical modeling of cDNA microarray images (Q2431681) (← links)
- Pointwise optimality of Bayesian wavelet estimators (Q2457964) (← links)
- On information pooling, adaptability and superefficiency in nonparametric function estimation (Q2476144) (← links)
- On the sum of \(t\) and Gaussian random variables (Q2494885) (← links)
- Frequentist optimality of Bayesian wavelet shrinkage rules for Gaussian and non-Gaussian noise (Q2497181) (← links)
- Testing in mixed-effects FANOVA models (Q2507894) (← links)
- Minimax and adaptive inference in nonparametric function estimation (Q2634653) (← links)
- A comparison of Bayesian and frequentist interval estimators in regression that utilize uncertain prior information (Q2788937) (← links)
- Bayesian hyper-Lassos with non-convex penalization (Q2802765) (← links)
- On the convolution of normal and<i>t</i>random variables (Q2863110) (← links)
- Adaptive Posterior Mode Estimation of a Sparse Sequence for Model Selection (Q3077759) (← links)
- Bayesian False Discovery Rate Wavelet Shrinkage: Theory and Applications (Q3527743) (← links)
- A fast wavelet approach for recovering damaged images (Q3532732) (← links)
- Optimal Approximation of Signal Priors (Q3544334) (← links)
- Multiscale Methods for Data on Graphs and Irregular Multidimensional Situations (Q3551033) (← links)
- A Wavelet- or Lifting-Scheme-Based Imputation Method (Q3631462) (← links)
- (Q4238472) (← links)
- Ideal spatial adaptation by wavelet shrinkage (Q4320759) (← links)
- On Optimality of Bayesian Wavelet Estimators (Q4677090) (← links)
- Boundary coiflets for wavelet shrinkage in function estimation (Q4822453) (← links)
- Smooth Blockwise Iterative Thresholding: A Smooth Fixed Point Estimator Based on the Likelihood’s Block Gradient (Q4916514) (← links)
- Robust estimation for boundary correction in wavelet regression (Q4925434) (← links)
- (Q4999022) (← links)
- (Q4999095) (← links)
- Wavelet analysis of variance box plot (Q5044665) (← links)
- A Bayesian approach to wavelet-based modelling of discontinuous functions applied to inverse problems (Q5087931) (← links)
- Optimal convergence rates of Bayesian wavelet estimation with a novel empirical prior in nonparametric regression model (Q5089924) (← links)
- NEW SELECTION APPROACH FOR RESOLUTION AND BASIS FUNCTIONS IN WAVELET REGRESSION (Q5217518) (← links)
- Testing for structural breaks in the presence of data perturbations: impacts and wavelet-based improvements (Q5222299) (← links)
- Wavelet Shrinkage with Double Weibull Prior (Q5252810) (← links)
- On Bayesian testimation and its application to wavelet thresholding (Q5305480) (← links)
- Multinomial Probability Estimation by Wavelet Thresholding (Q5321946) (← links)
- Model selection for estimating the non zero components of a Gaussian vector (Q5429572) (← links)
- Bayesian inference for high‐dimensional linear regression under mnet priors (Q5507353) (← links)
- Bayesian wavelet shrinkage with logistic prior (Q5867492) (← links)
- Asymmetric Prior in Wavelet Shrinkage (Q5877576) (← links)