Global Sensitivity Analysis
By Xiaobo Zhou, Henry Lin. ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2017
886 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1430caeeecdc34f21239c7f444723e21a9504b65
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
- Xiaoying Zhuang
- Fanny Sarrazin
- Timon Rabczuk
- Thorsten Wagener
- Francesca Pianosi
- Khader M. Hamdia
- N. Strachan
- Mohammad Silani
In Statistical and Nonlinear Physics
- Xiaoying Zhuang
- Timon Rabczuk
- Khader M. Hamdia
- N. Strachan
- Francesca Pianosi
- Peter Nijkamp
- Thorsten Wagener
- Fanny Sarrazin
In Statistics and Probability
- Fanny Sarrazin
- Thorsten Wagener
- Francesca Pianosi
- Khader M. Hamdia
- N. Strachan
- Agoston E. Eiben
- Mohammad Silani
- Timon Rabczuk
Citations in the corpus
- Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions (2017, methodology): “Variance-based SA methods that are based on decomposing the variance of the output are among the most popular ones (Saltelli et al. 2008).”
- An integrated systematic analysis of uncertainties in UK energy transition pathways (2015, methodology): “Following the guidance and setting types described by Saltelli et al. (2008), the goal of our sensitivity analysis is first defined, to identify key uncertainties that impact on the likelihood of meeting UK emission reduction targets.”
- Sensitivity analysis of environmental models: A systematic review with practical workflow (2014, methodology): “Common indications for n range from 500 to 1000 (Saltelli et al., 2008).”
- A Matlab toolbox for Global Sensitivity Analysis (2015, methodology): “…address speci fi c questions (e.g. input ranking, screening, mapping, analysis of individual contributions or of interactions (Saltelli et al., 2008)), the insights provided by severalmethodscancomplementeachothersothatamorecompletepictureoftheproblemathandisobtained.”
- Parameter Control in Evolutionary Algorithms: Trends and Challenges (2015, background): “For instance, using sensitivity analysis [174] can help verify or refute the aforementioned fundamental assumption.”
- A systemic framework for sustainability assessment (2015, background): “In this context, the widely adopted ceteris paribus condition for modelling many physical systems can hardly hold (Nijkamp, 2007), and uncertainties rise as soon as we try to understand the system (Saltelli et al., 2008).”