• ProxSARAH

  • Referenced in 9 articles [sw35438]
  • nonconvex objective term and additional bounded variance assumption if applied to expectation problems. They work ... algorithms can achieve the best-known complexity bounds in terms of stochastic first-order oracle...
  • EFICA

  • Referenced in 2 articles [sw08751]
  • original signals and also from their varying variance. Therefore, the method is more flexible which ... theoretically achieves Cramér-Rao bound for the case of constant-variance signals, i.e. signals whose...
  • GET

  • Referenced in 21 articles [sw35164]
  • alpha)% global envelope is a band bounded by two vectors such that the probability that ... patterns and random sets, functional analysis of variance, functional general linear model, n-sample test...
  • HSMUCE

  • Referenced in 13 articles [sw27013]
  • which locally adapts to changes in the variance. The multiscale test is a combination ... change points. For this, new deviation bounds for F‐type statistics are derived. Moreover...
  • SISTOS

  • Referenced in 1 article [sw14820]
  • prove that the variance of the SMC method is bounded linearly in the number...
  • metansue

  • Referenced in 0 articles [sw15635]
  • based on the expected value, variance and statistical significance bounds. Finally, a restricted-maximum likelihood...
  • ExtremeBounds

  • Referenced in 1 article [sw23860]
  • focuses on the upper and lower extreme bounds of regression coefficients, as well as Sala ... coefficients from regression models that yield a variance inflation factor within a prespecified limit...
  • ADVANTG

  • Referenced in 1 article [sw18292]
  • automated variance reduction parameter generator. ation of variance reduction (VR) parameters for continuous-energy Monte ... energy- dependent mesh-based weight-window bounds and biased source distributions from three- dimensional ... core desktop systems and clusters). The final variance reduction parameters are output in a format...
  • Optimal-SPCA

  • Referenced in 3 articles [sw31821]
  • optimization. We propose a tailored branch-and-bound algorithm, Optimal-SPCA, that enables ... those methods, explaining a higher portion of variance and permitting complete control over the desired...
  • DDSketch

  • Referenced in 1 article [sw40732]
  • Summary statistics such as the mean and variance are easily maintained for large, distributed data ... sketches where the emphasis has been on bounding the rank error of the sketch while...
  • MOTABAR

  • Referenced in 2 articles [sw12739]
  • updating to find the posterior mean and variance of the coefficients of a Taylor polynomial ... provides a new way to estimate confidence bounds for the latter. We demonstrate the performance...
  • DeltaS

  • Referenced in 1 article [sw35250]
  • between populations rely on distance, probability, or variance concepts. To overcome conceptual problems of these ... weighted by the respective trait differences. Its bounds are functions of the difference measure...
  • BARON

  • Referenced in 354 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • BPMPD

  • Referenced in 41 articles [sw00088]
  • BPMPD is a state-of-the-art implementation...
  • CADNA

  • Referenced in 46 articles [sw00098]
  • CADNA: a library for estimating round-off error...
  • CASA

  • Referenced in 105 articles [sw00108]
  • CASA is a special-purpose system for computational...
  • CSDP

  • Referenced in 202 articles [sw00169]
  • CSDP, A C Library for Semidefinite Programming. This...
  • Expokit

  • Referenced in 200 articles [sw00258]
  • Expokit provides a set of routines aimed at...
  • GAUSS

  • Referenced in 119 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • GQRAT

  • Referenced in 35 articles [sw00373]
  • The concern here is with Gauss-type quadrature...