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HYRISK: An R package for hybrid uncertainty analysis using probability, imprecise probability and possibility distributions
16 references·0 citing·45 second hop
HYRISK: An R package for hybrid uncertainty analysis using probability, imprecise probability and possibility distributions (2018)HYRISK: An R package for hybrid uncertain…COSSAN: A Multidisciplinary Software Suite for Uncertainty Quantification and Risk Management (2017)COSSAN: A Multidisciplinary S…COSSAN: A Multidisciplinary Software Suite for Uncertainty Quantification and Risk Management (2015)COSSAN: A Multidisciplinary S…Imprecise probabilities in engineering analyses (2013)Imprecise probabilities in en…Hierarchical propagation of probabilistic and non-probabilistic uncertainty in the parameters of a risk model (2013)Hierarchical propagation of p…Mixed Aleatory/Epistemic Uncertainty Quantification for Hypersonic Flows via Gradient-Based Optimization and Surrogate Models (2012)Mixed Aleatory/Epistemic Unce…DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)DiceKriging , DiceOptim : Two…Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation (2011)Mixed aleatory-epistemic unce…Risk-informed decision-making in the presence of epistemic uncertainty (2010)Risk-informed decision-making…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Sensitivity analysis using probability bounding (2006)Sensitivity analysis using pr…2D Monte Carlo versus 2D Fuzzy Monte Carlo health risk assessment (2005)2D Monte Carlo versus 2D Fuzz…Quantifying probabilities of volcanic events: The example of volcanic hazard at Mount Vesuvius (2004)Quantifying probabilities of …An exploration of alternative approaches to the representation of uncertainty in model predictions (2004)An exploration of alternative…An exploration of alternative approaches to the representation of uncertainty in model predictions (2004)An exploration of alternative…Constructing Probability Boxes and Dempster-Shafer Structures (2003)Constructing Probability Boxe…What Monte Carlo methods cannot do (1996)What Monte Carlo methods cann…Design and Analysis of Computer Experiments (1989)STATISTICS FOR SPATIAL DATA (1992)BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits (2014)Simulation optimization: a review of algorithms and applications (2015)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Judgment Under Uncertainty: Heuristics and Biases. 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References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2003Constructing Probability Boxes and Dempster-Shafer Structures745 cited
  • 2012DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization594 cited
  • 2013Imprecise probabilities in engineering analyses505 cited
  • 2004An exploration of alternative approaches to the representation of uncertainty in model predictions362 cited
  • 2004Quantifying probabilities of volcanic events: The example of volcanic hazard at Mount Vesuvius337 cited
  • 2004An exploration of alternative approaches to the representation of uncertainty in model predictions284 cited
  • 1996What Monte Carlo methods cannot do203 cited
  • 2011Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation192 cited
  • 2006Sensitivity analysis using probability bounding136 cited
  • 20052D Monte Carlo versus 2D Fuzzy Monte Carlo health risk assessment96 cited
  • 2010Risk-informed decision-making in the presence of epistemic uncertainty73 cited
  • 2013Hierarchical propagation of probabilistic and non-probabilistic uncertainty in the parameters of a risk model47 cited
  • 2017COSSAN: A Multidisciplinary Software Suite for Uncertainty Quantification and Risk Management

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42 cited
  • 2015COSSAN: A Multidisciplinary Software Suite for Uncertainty Quantification and Risk Management29 cited
  • 2012Mixed Aleatory/Epistemic Uncertainty Quantification for Hypersonic Flows via Gradient-Based Optimization and Surrogate Models21 cited
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