A new uncertainty importance measure

By Emanuele Borgonovo. Reliability Engineering & System Safety, 2007

997 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7be4099aac5f55aa2829b76598a1bb23bd4c5bed

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

In Statistics and Probability

Citations in the corpus

The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020, positive): “For example, the method of Borgonovo (2007) measures this difference via the Borgonovo index, while the methods of Krzykacz-Hausmann (2001) and Pianosi and Wagener (2015, PAWN) use the mutual information and Kolmogorov-Smirnov test, respectively.”
Global sensitivity measures from given data (2013, background): “|X i =x (y) dy dx. (16) It can be shown that δ i possesses additional properties (Borgonovo, 2007; Borgonovo et al., 2011).”
Sensitivity analysis for multidimensional and functional outputs (2013, background): “In the last decade, many authors have proposed some generalizations of Sobol indices for scalar outputs (see for example [1, 11, 10] and [3]).”
Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications (2015, positive): “First introduced by Sobol’ (1993), this idea is exploited in practice by Jacques et al. (2006), Borgonovo (2007), Borgonovo and Tarantola (2008) and Borgonovo et al. (2011).”
Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations (2015, methodology): “Moment independent SA methods (along with other global methods) involve the propagation of uncertainty through the model (Borgonovo, 2007) and therefore often incorporate MCSs. Note that due to the complex nature of SWI models, it is very difficult, if not impossible, to analytically derive the…”
Global Sensitivity Analysis: a new generation of mighty estimators based on rank statistics (2020, neutral): “In [27, 26, 25], the authors use higher moments to define new indices while, in [5, 6, 8], the use of divergences or distances between measures allows to define new indices.”
Generalized Hoeffding-Sobol Decomposition for Dependent Variables -Application to Sensitivity Analysis (2011, positive): “[1, 2] initiated the construction of a new generalized moment free sensitivity index.”
New improvements in the use of dependence measures for sensitivity analysis and screening (2014, methodology): “[9] Other authors propose to consider all the probabilistic distribution and not only the variance, comparing the distribution of the output conditioned by an input parameter with the unconditioned one.[10] From the other hand, qualitative GSA uses less costly tools coming from the screening field.”
SALib: An open-source Python library for Sensitivity Analysis (2017, background): “…Campolongo, Cariboni, and Saltelli (2007)), FAST (Cukier et al. 1973, A. Saltelli, Tarantola, and Chan (1999)), Delta Moment-Independent Measure (E. Borgonovo 2007, Plischke, Borgonovo, and Smith (2013)) Derivative-based Global Sensitivity Measure (DGSM) (Sobol’ and Kucherenko 2009) , and…”
Generalized Sobol sensitivity indices for dependent variables: numerical methods (2013, positive): “A different way to deal with this issue has been initiated by Borgonovo [5] and Borgonovo et al.”