• AK-MCS

  • Referenced in 45 articles [sw18303]
  • just started to appear in uncertainty propagation [3] and reliability and studies. It presents interesting ... exact interpolation and a local index of uncertainty on the prediction which can be used...
  • PULCinella

  • Referenced in 7 articles [sw29878]
  • Pulcinella: a general tool for propagating uncertainty in valuation networks. We present PULCinella ... PULCinella is a general tool for Propagating Uncertainty based on the Local Computation technique ... specialized to different uncertainty theories: at the moment, Pulcinella can propagate probabilities, belief functions, Boolean...
  • Puma

  • Referenced in 4 articles [sw19121]
  • Puma: a bioconductor package for propagating uncertainty in microarray analysis. Most analyses of Affymetrix GeneChip ... uncertainty of such estimates. By propagating uncertainty to downstream analyses we can improve results from ... puma package makes a suite of uncertainty propagation methods available to a general audience ... speed of execution over previously available uncertainty propagation methods. Included are summarisation, differential expression detection...
  • BAT

  • Referenced in 7 articles [sw00067]
  • straightforward parameter estimation, limit setting and uncertainty propagation. BAT is implemented in C++ and allows...
  • Open TURNS

  • Referenced in 4 articles [sw12837]
  • Open Source software platform dedicated to uncertainty propagation by probabilistic methods, named OpenTURNS for Open ... sections of this paper: uncertainty quantification, uncertainty propagation, sensitivity analysis and metamodeling. A section also...
  • iTOUGH2

  • Referenced in 4 articles [sw34111]
  • sensitivity analyses, data-worth analyses, and uncertainty propagation analyses. Development of iTOUGH2 is driven...
  • DUE

  • Referenced in 3 articles [sw27796]
  • uncertain data for use in uncertainty propagation analyses: the “Data Uncertainty Engine (DUE)”. Data...
  • amei

  • Referenced in 3 articles [sw21015]
  • emerging epidemic while simultaneously propagating uncertainty regarding underlying disease parameters through to the decision process...
  • DSI Toolbox

  • Referenced in 3 articles [sw09588]
  • Shafer theory (DST) for modeling and propagating uncertainty has grown in the recent past...
  • Pi4U

  • Referenced in 7 articles [sw18320]
  • framework, for non-intrusive Bayesian Uncertainty Quantification and Propagation (UQ+P) of complex and computationally...
  • UQTk

  • Referenced in 4 articles [sw21917]
  • intrusive and non-intrusive methods for propagating input uncertainties through computational models, tools for sensitivity...
  • spup

  • Referenced in 1 article [sw27794]
  • package spup: Spatial Uncertainty Propagation Analysis. Uncertainty propagation analysis in spatial environmental modelling following methodology ... package provides functions for examining the uncertainty propagation starting from input data and model parameters ... uncertainty model specification, stochastic simulation and propagation of uncertainty using Monte Carlo (MC) techniques. Uncertain...
  • IPP Toolbox

  • Referenced in 3 articles [sw09589]
  • collection of methods for uncertainty quantification and propagation using Dempster-Shafer Theory and imprecise probabilities ... provides all necessary functions to conduct an uncertainty analysis in the imprecise probabilistic framework ... quantification of uncertainty by imprecise distributions and the propagation through complex system models are supported ... highly configurable to the user’s needs. Uncertainty measures are included, as are sensitivity analysis...
  • propagate

  • Referenced in 1 article [sw27800]
  • package propagate: Propagation of Uncertainty. Propagation of uncertainty using higher-order Taylor expansion and Monte...
  • PUseqClust

  • Referenced in 1 article [sw31589]
  • noise existing in the data and the uncertainty of gene expression measurements. Some methods also ... clustering centers. This study proposes PUseqClust (propagating uncertainty into RNA-Seq clustering) framework for clustering...
  • PolyChaos

  • Referenced in 1 article [sw33430]
  • increasingly popular technique for uncertainty propagation and quantification in systems and control. Based ... mathematical framework to study systems under arbitrary uncertainties of finite variance; we introduce this problem...
  • UncertWeb

  • Referenced in 1 article [sw27795]
  • frameworks and simulation tools which support uncertainty propagation in complex and chained models typically lack ... UncertWeb project which are designed to provide uncertainty support in the context of the proposed...
  • QExpy

  • Referenced in 1 article [sw29507]
  • module allows users to easily propagate uncertainties from measured quantities using a variety of techniques...
  • uncertainties

  • Referenced in 1 article [sw29508]
  • pain and complexity out of uncertainty calculations. Error propagation is not to be feared anymore ... result with an uncertainty as predicted by linear error propagation theory. It automatically calculates derivatives ... uses them for calculating uncertainties. Almost all uncertainty calculations are performed analytically. Correlations between variables ... existing error propagation codes. You may want to check the following related uncertainty calculation Python...
  • errors

  • Referenced in 0 articles [sw27801]
  • package errors: Uncertainty Propagation for R Vectors. Support for measurement errors in R vectors, matrices ... arrays: automatic uncertainty propagation and reporting...