• face

  • Referenced in 3 articles [sw23648]
  • package face: Fast Covariance Estimation for Sparse Functional Data. Implementation of the Fast Covariance Estimation...
  • admixture

  • Referenced in 5 articles [sw26449]
  • implementation of ADMIXTURE that computes maximum-likelihood estimates of the admixture proportions and population allele ... optimization (M-step) that encourages sparse admixture estimates. This code was tested using R version...
  • FPC_AS

  • Referenced in 57 articles [sw12218]
  • recovering sparse solutions to an undetermined system of linear equations Ax=b. The algorithm ... first-order iterative “shrinkage” method yields an estimate of the subset of components ... speed and its ability to recover sparse signals...
  • msda

  • Referenced in 9 articles [sw25025]
  • Multi-Class Sparse Discriminant Analysis method that estimates all discriminant directions simultaneously...
  • coxphMIC

  • Referenced in 1 article [sw19920]
  • coxphMIC: An R Package for Sparse Estimation of Cox Proportional Hazards Models. In this paper ... package named coxphMIC, which implements the sparse estimation method for Cox proportional hazards models ... fast with a superior performance in sparse estimation. Furthermore, the reparameterization tactic yields an additional...
  • sparseHessianFD

  • Referenced in 2 articles [sw23054]
  • sparseHessianFD: An R Package for Estimating Sparse Hessian Matrices. Sparse Hessian matrices occur often...
  • EnKF-MC

  • Referenced in 2 articles [sw15209]
  • modified Cholesky decomposition for inverse covariance matrix estimation. This implementation is named EnKF-MC. Background ... conditionally independent. This allows to obtain sparse estimators of the inverse background error covariance matrix ... components are observed) as well as for sparse observations (only ... modified Cholesky for inverse covariance matrix estimation can reduce the impact of spurious correlations during...
  • Algorithm 618

  • Referenced in 2 articles [sw29829]
  • Algorithm 618: FORTRAN subroutines for estimating sparse Jacobian Matrices...
  • MGSDA

  • Referenced in 2 articles [sw27160]
  • I.Gaynanova, J.Booth and M.Wells (2015), Simultaneous sparse estimation of canonical vectors...
  • MRCE

  • Referenced in 1 article [sw18485]
  • output linear regression model with a sparse estimator of the error precision matrix ... sparse estimator of the regression coefficient matrix...
  • Bubbles

  • Referenced in 8 articles [sw08870]
  • analysis, which can be estimated by maximization of the sparsenesses of linear filter outputs. This...
  • refund

  • Referenced in 39 articles [sw07434]
  • variance formulas combine model-based conditional estimates across the distribution of decompositions. A bootstrap procedure ... simulation studies that include both densely and sparsely observed functions. We apply our method...
  • iDUDE

  • Referenced in 4 articles [sw21734]
  • large collection of sparse statistics, resulting in poor estimates that would not enable effective denoising...
  • MA48

  • Referenced in 22 articles [sw00535]
  • code for the direct solution of sparse unsymmetric linear systems of equations. The new code ... integrated facilities for iterative refinement and error estimation...
  • ROCKET

  • Referenced in 8 articles [sw30016]
  • Gaussian model. Hence, it is an optimal estimator under a much larger family of distributions ... sparse spectral norm of the nonparametric Kendall’s tau estimator of the correlation matrix, which...
  • SBA

  • Referenced in 24 articles [sw05242]
  • concerns sba, a C/C++ package for generic sparse bundle adjustment that is distributed under ... structure and motion (i.e. camera matrix) parameter estimates. Provided with initial estimates, BA simultaneously refines ... underlying normal equations exhibiting a sparse block structure (click here for an example). sba exploits ... this sparseness by employing a tailored sparse variant of the LM algorithm that leads...
  • RootSolve

  • Referenced in 18 articles [sw08339]
  • estimate steady-state conditions of a system of (differential) equations in full, banded or sparse...
  • Tensorlab

  • Referenced in 46 articles [sw14255]
  • with structured factors and support for dense, sparse and incomplete data sets, tensor decompositions: canonical ... optimization, and much more: cumulants, tensor visualization, estimating a tensor’s rank or multilinear rank...
  • Spatial Statistics

  • Referenced in 6 articles [sw06026]
  • Spacestatpack for Fortran 90 excel at estimating large-scale lattice models. The Matlab Spatial Statistics ... addition, it contains code for creating sparse spatial weight matrices and finding the log-determinants ... most common estimators employed in spatial econometrics. These products use sparse matrices and other computational...
  • PDSCE

  • Referenced in 1 article [sw28203]
  • package PDSCE: Positive definite sparse covariance estimators. A package to compute and tune some positive ... definite and sparse covariance estimators...