
wavethresh
 Referenced in 135 articles
[sw06084]
 wavelet transforms, complexvalued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary...

ForWaRD
 Referenced in 55 articles
[sw12296]
 algorithm that performs noise regularization via scalar shrinkage in both the Fourier and wavelet domains ... Fourier shrinkage exploits the Fourier transform’s economical representation of the colored noise inherent ... deconvolution, whereas the wavelet shrinkage exploits the wavelet domain’s economical representation of piecewise smooth ... more economical wavelet representations require less Fourier shrinkage. ForWaRD is applicable to all illconditioned...

FPC_AS
 Referenced in 68 articles
[sw12218]
 fast algorithm for sparse reconstruction based on shrinkage, subspace optimization, and continuation. We propose ... first stage a firstorder iterative “shrinkage” method yields an estimate of the subset...

OSCAR
 Referenced in 55 articles
[sw03026]
 Simultaneous regression shrinkage, variable selection, and supervised clustering of predictors with OSCAR. Variable selection ... article, a new method, called OSCAR (octagonal shrinkage and clustering algorithm for regression), is proposed ... shown to compare favorably to the existing shrinkage and variable selection techniques in terms...

WaveThresh4
 Referenced in 42 articles
[sw04496]
 wavelet transforms, complexvalued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary...

corpor
 Referenced in 22 articles
[sw09381]
 This package implements a JamesSteintype shrinkage estimator for the covariance matrix, with separate ... shrinkage for variances and correlations. The details of the method are explained in Schäfer ... covariance matrix the package also provides shrinkage estimators for partial correlations and partial variances ... well as any arbitrary power of the shrinkage correlation matrix. Furthermore, functions are available...

CasANOVA
 Referenced in 27 articles
[sw13555]
 approach to simultaneously accomplish both goals via shrinkage within a single automated procedure. The form ... this shrinkage has the ability to collapse levels within a factor by setting their effects...

reccv
 Referenced in 36 articles
[sw26388]
 review of the vast literature of wavelet shrinkage and wavelet thresholding estimators developed to denoise...

LASSO
 Referenced in 33 articles
[sw02850]
 useful method to achieve the shrinkage and variable selection simultaneously. The main idea of LASSO...

corpcor
 Referenced in 14 articles
[sw10199]
 This package implements a JamesSteintype shrinkage estimator for the covariance matrix, with separate ... shrinkage for variances and correlations. The details of the method are explained in Sch”afer ... covariance matrix the package also provides shrinkage estimators for partial correlations and partial variances ... well as any arbitrary power of the shrinkage correlation matrix. Furthermore, functions are available...

OptShrink
 Referenced in 20 articles
[sw33657]
 denoising by optimal, datadriven singular value shrinkage. OptShrink is a simple, completely datadriven...

uniCox
 Referenced in 14 articles
[sw19131]
 package uniCox: Univarate shrinkage prediction in the Cox model. Univarate shrinkage prediction for survival analysis...

Statistics Toolbox
 Referenced in 18 articles
[sw10157]
 with principal component analysis, apply regularization and shrinkage, or use partial least squares regression...

blasso
 Referenced in 13 articles
[sw06769]
 models that allows for adaptive, databased shrinkage of the regression coefficients. Posterior inference...

ISTANet
 Referenced in 7 articles
[sw40591]
 which is inspired by the Iterative ShrinkageThresholding Algorithm (ISTA) for optimizing a general ℓ1 ... parameters in ISTANet (eg nonlinear transforms, shrinkage thresholds, step sizes, etc.) are learned...

shrink
 Referenced in 4 articles
[sw24100]
 package shrink: Global, Parameterwise and Joint Shrinkage Factor Estimation. The predictive value of a statistical ... model can often be improved by applying shrinkage methods. This can be achieved ... empirical Bayes approaches. Various types of shrinkage factors can also be estimated after a maximum ... likelihood. While global shrinkage modifies all regression coefficients by the same factor, parameterwise shrinkage factors...

horserule
 Referenced in 5 articles
[sw27913]
 which is well known to give aggressive shrinkage of noise predictors while leaving the important ... additional hierarchical layer that applies more shrinkage a priori to rules with a large number ... observations. The aggressive noise shrinkage of our prior also makes it possible to complement...

bayesreg
 Referenced in 5 articles
[sw31331]
 Bayesian regularization for linear regression models. Multiple shrinkage priors are implemented that will shrink small ... based on the overview in the preprint Shrinkage priors for Bayesian penalized regression. Note that...

BayesReg
 Referenced in 5 articles
[sw31836]
 bayesreg: Bayesian Regression Models with GlobalLocal Shrinkage Priors. Fits linear or logistic regression model ... using Bayesian globallocal shrinkage prior hierarchies as described in Polson and Scott...

FISTA
 Referenced in 4 articles
[sw11448]
 fast iterative shrinkagethresholding algorithm for linear inverse problems. We consider the class of iterative ... shrinkagethresholding algorithms (ISTA) for solving linear inverse problems arising in signal/image processing. This class ... paper we present a new fast iterative shrinkagethresholding algorithm (FISTA) which preserves the computational...