• bootlib

  • Referenced in 426 articles [sw40642]
  • reliable standard errors, confidence intervals, and other measures of uncertainty for a wide range ... semiparametric and smooth models. Significance and confidence intervals are the subjects of Chapters...
  • ValEncIA-IVP

  • Referenced in 29 articles [sw04846]
  • guaran- teed bounds for the uncertainties are known, interval meth- ods can be applied...
  • refund

  • Referenced in 63 articles [sw07434]
  • accounting for uncertainty in FPC decompositions. Additionally, pointwise and simultaneous confidence intervals that account ... bootstrap procedure is implemented to understand the uncertainty in principal component decomposition quantities. Our method...
  • ValEncIA

  • Referenced in 19 articles [sw08735]
  • guaranteed bounds for the uncertainties are known, interval methods can be applied to obtain validated...
  • tidybayes

  • Referenced in 3 articles [sw31516]
  • models and that generate point summaries and intervals in a tidy format. In addition, ’ggplot2 ... visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities...
  • ui

  • Referenced in 1 article [sw32122]
  • provide confidence intervals (sampling variation) and uncertainty intervals (sampling variation+uncertainty due to non-ignorability...
  • NEVA

  • Referenced in 1 article [sw33948]
  • parameter space. NEVA includes posterior probability intervals (uncertainty bounds) of estimated return levels through Bayesian...
  • sdtlu

  • Referenced in 1 article [sw40923]
  • diagnosticity, use bootstrapping to determine uncertainty intervals around these parameters and measures, and compare parameters...
  • robustrao

  • Referenced in 0 articles [sw15794]
  • uncategorized references) by calculating its interval of uncertainty using mathematical optimization as proposed in Calatrava ... missing bibliographic data as an uncertainty interval. Classification / ACM - 2012: Information systems   Similarity measures, Theory...
  • RoVerGeNe

  • Referenced in 13 articles [sw10954]
  • analysis of genetic regulatory networks under parameter uncertainty. Genetic regulatory networks are described ... logic and uncertain parameters are specified by intervals. The tool addresses two problems: robustness analysis...
  • cit

  • Referenced in 1 article [sw17794]
  • based FDR value with confidence intervals to quantify uncertainty in the causal inference. The outcome...
  • DUE

  • Referenced in 3 articles [sw27796]
  • uncertainties of environmental objects. This is currently limited to probability models, but confidence intervals ... spatial and temporal patterns of uncertainty (autocorrelation), as well as cross-correlations between related inputs...
  • POLE

  • Referenced in 2 articles [sw00722]
  • confidence interval calculations for a Poisson process with background including systematic uncertainties: POLE...
  • Emlk2d

  • Referenced in 2 articles [sw13516]
  • realistic evaluation of uncertainty by various methods: inverting Gaussian confidence intervals, confidence intervals measured from...
  • HYRISK

  • Referenced in 0 articles [sw19514]
  • using hybrid representations of uncertainty (probability distributions, fuzzy numbers, intervals, probability distributions with imprecise parameters ... uncertainty propagation procedure combines random sampling using Monte Carlo method with fuzzy interval analysis...
  • MNPVfuzzy

  • Referenced in 1 article [sw13157]
  • present value under uncertainties: an approach based on fuzzy numbers and interval arithmetic. This paper ... method, for evaluation of investment projects under uncertainty. Triangular fuzzy numbers are used to represent...
  • Octave Interval

  • Referenced in 2 articles [sw13236]
  • their domain. All results are verified, because interval computations automatically keep track of any errors ... These concepts can be used to handle uncertainties, estimate arithmetic errors and produce reliable results ... verified computing. The implementation is based on interval boundaries represented by binary64 numbers...
  • MonoLoco

  • Referenced in 1 article [sw36641]
  • MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation. We tackle the fundamentally ill-posed problem ... ambiguity in the task by predicting confidence intervals through a loss function based ... meaningful confidence intervals. We further share insights on our model of uncertainty in cases...
  • Noodles

  • Referenced in 1 article [sw27885]
  • ratio, perturbation potential temperature, and perturbation pressure. Uncertainty was quantified using individual ensemble member standard ... confidence interval. Bootstrapping was employed to overcome the dependence on normality in the uncertainty metrics...
  • DSI Toolbox

  • Referenced in 3 articles [sw09588]
  • Shafer theory (DST) for modeling and propagating uncertainty has grown in the recent past ... arithmetic and do not consider the inherently interval-based nature...