Pages that link to "Item:Q975559"

The following pages link to Wavelet methods in statistics: some recent developments and their applications (Q975559):

Displaying 43 items.

• Joint estimation and variable selection for mean and dispersion in proper dispersion models (Q309529) (← links)
• Time-threshold maps: using information from wavelet reconstructions with all threshold values simultaneously (Q459477) (← links)
• Wavelet based estimation for the derivative of a density by block thresholding under random censorship (Q459486) (← links)
• The scale enhanced wild bootstrap method for evaluating climate models using wavelets (Q1726757) (← links)
• An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors (Q1927082) (← links)
• Thresholding-based iterative selection procedures for model selection and shrinkage (Q1951984) (← links)
• Low-rank elastic-net regularized multivariate Huber regression model (Q2049832) (← links)
• Feature extraction for functional time series: theory and application to NIR spectroscopy data (Q2078521) (← links)
• Penalized wavelet estimation and robust denoising for irregular spaced data (Q2095705) (← links)
• High-dimensional linear regression with hard thresholding regularization: theory and algorithm (Q2097492) (← links)
• The WQN algorithm to adaptively correct artifacts in the EEG signal (Q2168689) (← links)
• Removing the singularity of a penalty via thresholding function matching (Q2178181) (← links)
• A characterization of proximity operators (Q2203356) (← links)
• Robust regression with compositional covariates (Q2242144) (← links)
• Perspective maximum likelihood-type estimation via proximal decomposition (Q2286365) (← links)
• Flexible, boundary adapted, nonparametric methods for the estimation of univariate piecewise-smooth functions (Q2293678) (← links)
• Generalized Bayesian shrinkage and wavelet estimation of location parameter for spherical distribution under balance-type loss: minimaxity and admissibility (Q2306270) (← links)
• Generalized cross validation in variable selection with and without shrinkage (Q2343837) (← links)
• Adaptive edge-preserving image denoising using wavelet transforms (Q2444593) (← links)
• A wavelet-based hybrid approach to estimate variance function in heteroscedastic regression models (Q2516632) (← links)
• Penalised robust estimators for sparse and high-dimensional linear models (Q2664993) (← links)
• Estimation of Variance Function in Heteroscedastic Regression Models by Generalized Coiflets (Q2876138) (← links)
• -Almost sure convergence for multivariate probability density estimate from dependent observations (Q2979604) (← links)
• (Q4496028) (← links)
• Nonlinear wavelet shrinkage estimator of nonparametric regularity regression function via cross-validation with simulation study (Q4595569) (← links)
• Iterative gradient descent for outlier detection (Q5010123) (← links)
• New Wavelet SURE Thresholds of Elliptical Distributions under the Balance Loss (Q5037789) (← links)
• Robust estimation and outlier detection for varying-coefficient models via penalized regression (Q5042171) (← links)
• Hard Thresholding Regularised Logistic Regression: Theory and Algorithms (Q5061727) (← links)
• A robust high dimensional estimation of a finite mixture of the generalized linear model (Q5092682) (← links)
• Wavelets in statistics: A review (Q5123733) (← links)
• A new Bayesian wavelet thresholding estimator of nonparametric regression (Q5138562) (← links)
• On simple wavelet estimators of random signals and their small-sample properties (Q5220912) (← links)
• A Thresholding Algorithm for Order Selection in Finite Mixture Models (Q5252841) (← links)
• Convergence Analysis of Douglas--Rachford Splitting Method for “Strongly + Weakly” Convex Programming (Q5275290) (← links)
• (Q5310575) (← links)
• Wavelet shrinkage generalized Bayes estimation for elliptical distribution parameter’s under LINEX loss (Q5379787) (← links)
• Wavelet threshold based on Stein's unbiased risk estimators of restricted location parameter in multivariate normal (Q5861481) (← links)
• Spline local basis methods for nonparametric density estimation (Q6158228) (← links)
• Bayesian wavelet Stein's unbiased risk estimation of multivariate normal distribution under reflected normal loss (Q6164854) (← links)
• Adaptive and robust multi-task learning (Q6183769) (← links)
• Regression with linked datasets subject to linkage error (Q6602365) (← links)
• Bayesian shrinkage wavelet estimation of mean matrix of the matrix variate normal distribution with application in de-noising (Q6659748) (← links)