Distribution-free risk analysis | 0 | 0.34 | 2022 |
Probability bounds analysis for Python | 0 | 0.34 | 2022 |
Computing with confidence | 0 | 0.34 | 2021 |
Natural language of uncertainty: numeric hedge words. | 2 | 0.41 | 2015 |
Commentary: IUCN classifications under uncertainty. | 0 | 0.34 | 2012 |
Probabilistic bounding analysis in the Quantification of Margins and Uncertainties | 4 | 0.63 | 2011 |
Verified Computation with Probabilities. | 0 | 0.34 | 2011 |
Trade-off between sample size and accuracy: Case of measurements under interval uncertainty | 1 | 0.39 | 2009 |
Sensitivity analysis using probability bounding | 22 | 1.48 | 2006 |
Computing mean and variance under Dempster–Shafer uncertainty: Towards faster algorithms | 8 | 0.72 | 2006 |
Varying correlation coefficients can underestimate uncertainty in probabilistic models | 6 | 0.92 | 2006 |
Computing best-possible bounds for the distribution of a sum of several variables is NP-hard | 8 | 0.58 | 2006 |
Exact Bounds on Finite Populations of Interval Data | 26 | 1.92 | 2005 |
Summary from the epistemic uncertainty workshop: consensus amid diversity | 19 | 1.67 | 2004 |
Challenge problems: uncertainty in system response given uncertain parameters | 76 | 14.67 | 2004 |
A new Cauchy-based black-box technique for uncertainty in risk analysis | 14 | 1.31 | 2004 |
A Feasible Algorithm for Locating Concave and Convex Zones of Interval Data and Its Use in Statistics-Based Clustering. | 3 | 0.46 | 2004 |
Equivalence of methods for uncertainty propagation of real-valued random variables | 29 | 1.85 | 2004 |
Arithmetic with uncertain numbers: rigorous and (often) best possible answers | 22 | 1.70 | 2004 |
Exact Upper Bound on the Mean of the Product of Many Random Variables with Known Expectations | 10 | 0.83 | 2003 |
Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity | 9 | 0.95 | 2003 |
Dependable Handling of Uncertainty. | 8 | 0.73 | 2003 |
Why is Selecting the Simplest Hypothesis (Consistent with Data) a Good Idea? A Simple Explanation | 1 | 0.41 | 2002 |
Computing variance for interval data is NP-hard | 37 | 3.65 | 2002 |
Epistemic Uncertainty Workshop | 0 | 0.34 | 2002 |