Pages that link to "Item:Q2583417"

The following pages link to Empirical Bayes selection of wavelet thresholds (Q2583417):

Displaying 50 items.

• Stochastic expansions using continuous dictionaries: Lévy adaptive regression kernels (Q98918) (← links)
• Bayes procedures for adaptive inference in inverse problems for the white noise model (Q267016) (← links)
• On the estimation of the function and its derivatives in nonparametric regression: a Bayesian testimation approach (Q354222) (← links)
• A nonparametric empirical Bayes approach to adaptive minimax estimation (Q391864) (← links)
• Adaptive rates of contraction of posterior distributions in Bayesian wavelet regression (Q393540) (← links)
• Mean field variational Bayes for continuous sparse signal shrinkage: pitfalls and remedies (Q405332) (← links)
• Priors for Bayesian adaptive spline smoothing (Q421435) (← links)
• Sparse regression learning by aggregation and Langevin Monte-Carlo (Q439987) (← links)
• Mirror averaging with sparsity priors (Q442083) (← links)
• Time-threshold maps: using information from wavelet reconstructions with all threshold values simultaneously (Q459477) (← links)
• Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector (Q470502) (← links)
• Bayesian selection of primary resolution and wavelet bias functions for wavelet regression (Q626208) (← links)
• A majorization-minimization approach to variable selection using spike and slab priors (Q638812) (← links)
• Bayesian nonparametric models for peak identification in MALDI-TOF mass spectroscopy (Q641098) (← links)
• Hierarchical wavelet modelling of environmental sensor data (Q642204) (← links)
• Model selection via adaptive shrinkage with \(t\) priors (Q650694) (← links)
• Denoising methods for thermomechanical decomposition for quasi-equilibrium molecular dynamics simulations (Q653751) (← links)
• On posterior distribution of Bayesian wavelet thresholding (Q710785) (← links)
• On the posterior median estimators of possibly sparse sequences (Q816380) (← links)
• Optimal testing for additivity in multiple nonparametric regression (Q841020) (← links)
• Regularization in statistics (Q882931) (← links)
• Efficient resolution and basis functions selection in wavelet regression (Q906138) (← links)
• Adaptive estimation of and oracle inequalities for probability densities and characteristic functions (Q930649) (← links)
• Discussion: One-step sparse estimates in nonconcave penalized likelihood models: Who cares if it is a white cat or a black cat? (Q939652) (← links)
• Larger posterior mode wavelet thresholding and applications (Q951032) (← links)
• Adaptive variance function estimation in heteroscedastic nonparametric regression (Q955129) (← links)
• Hybrid local polynomial wavelet shrinkage: wavelet regression with automatic boundary adjustment (Q957160) (← links)
• Regularization through variable selection and conditional MLE with application to classification in high dimensions (Q958795) (← links)
• Cross-validated wavelet shrinkage (Q964663) (← links)
• A penalised data-driven block shrinkage approach to empirical Bayes wavelet estimation (Q973180) (← links)
• Wavelet estimation by Bayesian thresholding and model selection (Q999035) (← links)
• Covariance regularization by thresholding (Q1000302) (← links)
• Wavelet denoising techniques with applications to experimental geophysical data (Q1005774) (← links)
• Bayesian sigmoid shrinkage with improper variance priors and an application to wavelet denois\-ing (Q1010462) (← links)
• A simple forward selection procedure based on false discovery rate control (Q1018611) (← links)
• A data-driven block thresholding approach to wavelet estimation (Q1020970) (← links)
• Bayesian automatic polynomial wavelet regression (Q1031744) (← links)
• Some challenges for statistics (Q1039967) (← links)
• Asymptotic equivalence and adaptive estimation for robust nonparametric regression (Q1043738) (← links)
• Empirical Bayes approach to block wavelet function estimation (Q1603675) (← links)
• Cross-validated wavelet block thresholding for non-Gaussian errors (Q1658512) (← links)
• Multiscale representation for irregularly spaced data (Q1674059) (← links)
• Bayesian wavelet analysis using nonlocal priors with an application to fMRI analysis (Q1698220) (← links)
• Bayesian estimation of sparse signals with a continuous spike-and-slab prior (Q1747745) (← links)
• Locally adaptive smoothing with Markov random fields and shrinkage priors (Q1752016) (← links)
• General empirical Bayes wavelet methods and exactly adaptive minimax estimation (Q1781152) (← links)
• Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences (Q1879967) (← links)
• Robust wavelet estimation to eliminate simultaneously the effects of boundary problems, outliers, and correlated noise (Q1925574) (← links)
• Needles and straw in a haystack: posterior concentration for possibly sparse sequences (Q1940767) (← links)
• Data-driven wavelet-Fisz methodology for nonparametric function estimation (Q1951777) (← links)