• PITA

  • Referenced in 19 articles [sw06950]
  • logic programs adopt a simpler metric of uncertainty than probability.par Each of these approaches -- general ... useful in different domains depending on the form of uncertainty to be represented...
  • Chaospy

  • Referenced in 8 articles [sw31225]
  • rules, sampling schemes, and statistical metrics for uncertainty analysis. In addition, the software introduces some ... approach for creating polynomial chaos expansions with dependent stochastic variables...
  • NISP

  • Referenced in 1 article [sw32115]
  • output of a given model, depending on the uncertainty in its inputs. The analysis...
  • LabFit

  • Referenced in 1 article [sw06003]
  • admitting uncertainties at the dependent variable (Y) and also at the independent variables...
  • CORO

  • Referenced in 24 articles [sw02197]
  • Transformation and Distribution (STD) scheduling problem under uncertainty on the product demand, spot supply cost ... need to be anticipated and, then, it depends on the scenario to occur...
  • RivWidth

  • Referenced in 1 article [sw37787]
  • even in multichannel river systems. Uncertainty in RivWidth principally depends on the quality...
  • CosmoSpec

  • Referenced in 1 article [sw21687]
  • illustrate some of the parameter dependencies and discuss remaining uncertainties in particular related to collisional...
  • overlap

  • Referenced in 1 article [sw34699]
  • causal effects with minor model dependence and appropriately large uncertainties in the presence...
  • Noodles

  • Referenced in 1 article [sw27885]
  • ratio, perturbation potential temperature, and perturbation pressure. Uncertainty was quantified using individual ensemble member standard ... employed to overcome the dependence on normality in the uncertainty metrics. A coordinated view...
  • UDDAE_Optimization

  • Referenced in 2 articles [sw38320]
  • delay system, which can be affected by uncertainties, modeled by the realizations of a random ... depend on the controller and uncertain parameters. In order to take into account the uncertainty...
  • Uncertainpy

  • Referenced in 2 articles [sw31267]
  • Uncertainpy is a python toolbox for uncertainty quantification and sensitivity analysis tailored towards computational neuroscience ... support for the rosenblatt transformation to handle dependent input parameters. Uncertainpy is feature based ... applicable, it recognizes and calculates the uncertainty in features of the model, as well...
  • dep-impact

  • Referenced in 1 article [sw36729]
  • module for uncertainty quantification mainly based on studying the influence of dependencies between random variables...
  • SFCHECK

  • Referenced in 1 article [sw16888]
  • factor uncertainty and the optical resolution computed from the Patterson origin peak. The dependence...
  • DSI Toolbox

  • Referenced in 3 articles [sw09588]
  • Shafer theory (DST) for modeling and propagating uncertainty has grown in the recent past ... support for analysts. The few tools available depend on floating point arithmetic...
  • DESPOT

  • Referenced in 4 articles [sw27455]
  • standard belief tree, for online planning under uncertainty. A DESPOT focuses online planning ... near-optimal, with a regret bound that depends on the representation size of the optimal...
  • Exploratory Modeling Workbench

  • Referenced in 3 articles [sw33386]
  • based approaches for decision making under deep uncertainty. The library can be used to develop ... package manager: pip install ema_workbench. It depends on the Python scientific computing stack (numpy...
  • OpenMORDM

  • Referenced in 2 articles [sw33385]
  • bottom-up environmental systems planning under deep uncertainty with a focus on many-objective robust ... better understand system trade-offs, vulnerabilities, and dependencies...
  • GUIDANCE2

  • Referenced in 1 article [sw24614]
  • unreliable alignment regions accounting for the uncertainty of multiple parameters. Inference of multiple sequence alignments ... sequences different MSAs are often inferred, depending on the methodologies used and the assumed parameters ... integrative methodology that accounts for: (i) uncertainty in the process of indel formation, (ii) uncertainty...
  • Kink-detector

  • Referenced in 2 articles [sw29680]
  • formulation, for the first time, quantifies the uncertainty in atom positions around the cylinder ... change in direction of a helix depends on a simultaneous shift of multiple data points...
  • tsxtreme

  • Referenced in 0 articles [sw19305]
  • dependence structures, and Bayesian methods improve efficiency and allow for deriving measures of uncertainty...