• wavethresh

  • Referenced in 133 articles [sw06084]
  • wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary...
  • ForWaRD

  • Referenced in 53 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 ill-conditioned...
  • FPC_AS

  • Referenced in 60 articles [sw12218]
  • fast algorithm for sparse reconstruction based on shrinkage, subspace optimization, and continuation. We propose ... first stage a first-order iterative “shrinkage” method yields an estimate of the subset...
  • OSCAR

  • Referenced in 47 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 40 articles [sw04496]
  • wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary...
  • 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...
  • corpor

  • Referenced in 21 articles [sw09381]
  • This package implements a James-Stein-type 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...
  • reccv

  • Referenced in 35 articles [sw26388]
  • review of the vast literature of wavelet shrinkage and wavelet thresholding estimators developed to denoise...
  • LASSO

  • Referenced in 32 articles [sw02850]
  • useful method to achieve the shrinkage and variable selection simultaneously. The main idea of LASSO...
  • uniCox

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

  • Referenced in 11 articles [sw10199]
  • This package implements a James-Stein-type 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...
  • Statistics Toolbox

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

  • Referenced in 15 articles [sw33657]
  • denoising by optimal, data-driven singular value shrinkage. OptShrink is a simple, completely data-driven...
  • blasso

  • Referenced in 13 articles [sw06769]
  • models that allows for adaptive, data-based shrinkage of the regression coefficients. Posterior inference...
  • 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 4 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...
  • care

  • Referenced in 6 articles [sw19441]
  • estimating corresponding regression coefficients. Both shrinkage as well as empirical estimators are available...
  • WFMM

  • Referenced in 6 articles [sw36436]
  • regularized as a result of the nonlinear shrinkage prior imposed on the fixed effects wavelet...
  • FISTA

  • Referenced in 3 articles [sw11448]
  • fast iterative shrinkage-thresholding algorithm for linear inverse problems. We consider the class of iterative ... shrinkage-thresholding algorithms (ISTA) for solving linear inverse problems arising in signal/image processing. This class ... paper we present a new fast iterative shrinkage-thresholding algorithm (FISTA) which preserves the computational...