• reccv

  • Referenced in 36 articles [sw26388]
  • powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet ... literature of wavelet shrinkage and wavelet thresholding estimators developed to denoise such data. These estimators...
  • TVR-DART

  • Referenced in 23 articles [sw27583]
  • technique (TVR-DART) with automated gray value estimation. This algorithm is more robust and automated ... values. The gray values and the thresholds are estimated as the reconstruction improves through iterations...
  • fdrtool

  • Referenced in 34 articles [sw08196]
  • functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression and antitonic ... criticism (HC) scores and the corresponding decision threshold...
  • evmix

  • Referenced in 8 articles [sw19523]
  • package evmix. Extreme Value Mixture Modelling, Threshold Estimation and Boundary Corrected Kernel Density Estimation...
  • AdaPT

  • Referenced in 7 articles [sw30027]
  • AdaPT, which adaptively estimates a Bayes optimal (p)-value rejection threshold and controls the false ... proposes a rejection threshold and observes partially censored (p)-values, estimates the false discovery proportion ... threshold and proposes another threshold, until the estimated false discovery proportion is below (alpha ... learning method she chooses to estimate the optimal threshold, and to switch between different models...
  • softImpute

  • Referenced in 83 articles [sw12263]
  • main approaches.The one approach uses iterative soft-thresholded svds to impute the missing values ... matrix is completed with the current estimate. For large matrices there is a special sparse...
  • texmex

  • Referenced in 10 articles [sw12325]
  • maxima and multivariate extremes. Univariate models for threshold excesses and maxima are the Generalised Pareto ... using maximum (optionally penalised-)likelihood, or Bayesian estimation, and both classes of models ... visualising fitted models and return level estimates is provided. For serially dependent sequences, the intervals ... with graphical tools for threshold selection and to diagnose estimation convergence...
  • ThresholdROC

  • Referenced in 3 articles [sw25033]
  • package ThresholdROC: Threshold Estimation. Point and interval estimations of optimum thresholds for continuous diagnostic tests...
  • RESTART

  • Referenced in 35 articles [sw02499]
  • presents a method for accelerating simulations to estimate the probability of occurrence of rare events ... called RESTART (REpetitive Simulation Trials After Reaching Thresholds), is quite general and has a straightforward...
  • evd

  • Referenced in 24 articles [sw12267]
  • likelihood estimates for univariate and bivariate maxima models, and for univariate and bivariate threshold models...
  • EbayesThresh

  • Referenced in 17 articles [sw11103]
  • Methods. This package carries out Empirical Bayes thresholding using the methods developed ... Silverman. The basic problem is to estimate a mean vector given a vector of observations ... estimated by a marginal maximum likelihood approach. This leads to an adaptive thresholding approach...
  • tsDyn

  • Referenced in 9 articles [sw12355]
  • multivariate series, one can estimate a range of TVAR or threshold cointegration TVECM models with...
  • superpc

  • Referenced in 8 articles [sw19130]
  • form of cross-validation to estimate the optimal feature threshold in supervised principal components...
  • AdaBoost.RT

  • Referenced in 14 articles [sw08520]
  • with the relative estimation error that is higher than the preset threshold value, and then...
  • wbs

  • Referenced in 94 articles [sw11110]
  • called wild binary segmentation (WBS), for consistent estimation of the number and locations of multiple ... stopping criteria for WBS: one based on thresholding and the other based on what...
  • SAM

  • Referenced in 23 articles [sw08356]
  • additional features for fold-change thresholding and block permutations. Here, we explain ... microarrays. Some recently developed methodology for estimating false discovery rates and q-values has been...
  • twostageTE

  • Referenced in 1 article [sw24147]
  • package twostageTE: Two-Stage Threshold Estimation. Implements a variety of non-parametric methods for computing ... confidence intervals, as well as point estimates of threshold values...
  • SE-Sync

  • Referenced in 12 articles [sw40678]
  • semidefinite relaxation of the maximum-likelihood estimation whose minimizer provides an exact MLE so long ... available measurements falls below a certain critical threshold; furthermore, whenever exactness obtains, it is possible ... thereby certifying the optimality of the recovered estimate. We develop a specialized optimization scheme...
  • cthreshER

  • Referenced in 1 article [sw25595]
  • continuous way. The estimators for the threshold and the regression coefficients are obtained using ... estimators are derived, and the estimator for the threshold is shown to achieve root ... null hypothesis in the absence of a threshold, thus it is computationally more efficient than ... tests. Simulation studies show that the proposed estimators and test have desirable finite sample performance...
  • denoiseR

  • Referenced in 8 articles [sw17854]
  • Estimation. Estimate a low rank matrix from noisy data using singular values thresholding and shrinking...