[HTML][HTML] The future of sensitivity analysis: an essential discipline for systems modeling and policy support
Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling.
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …
A review of sensitivity analysis practices in wind resource assessment
A review of sensitivity analysis in wind resource assessment is presented, offering
classifications by sensitivity analysis output variable (or model), method, application …
classifications by sensitivity analysis output variable (or model), method, application …
Irrigated areas drive irrigation water withdrawals
A sustainable management of global freshwater resources requires reliable estimates of the
water demanded by irrigated agriculture. This has been attempted by the Food and …
water demanded by irrigated agriculture. This has been attempted by the Food and …
Global sensitivity analysis in hydrodynamic modeling and flood inundation map**
Flood simulation with two-dimensional hydrodynamic models is subject to different sources
of uncertainties in model configuration, boundary conditions, and model parametrization …
of uncertainties in model configuration, boundary conditions, and model parametrization …
Sensobol: An R package to compute variance-based sensitivity indices
The R package sensobol provides several functions to conduct variance-based uncertainty
and sensitivity analysis, from the estimation of sensitivity indices to the visual representation …
and sensitivity analysis, from the estimation of sensitivity indices to the visual representation …
An index of social fabric for assessing community vulnerability to natural hazards: Model development and analysis of uncertainty and sensitivity
Indices of socio-environmental vulnerability, resilience, and sustainability are well-
established in assessing, mitigating, and planning for natural hazards in mitigation. Although …
established in assessing, mitigating, and planning for natural hazards in mitigation. Although …
Efficient estimation of the ANOVA mean dimension, with an application to neural net classification
C Hoyt, AB Owen - SIAM/ASA Journal on Uncertainty Quantification, 2021 - SIAM
The mean dimension of a black box function of d variables is a convenient way to
summarize the extent to which it is dominated by high or low order interactions. It is …
summarize the extent to which it is dominated by high or low order interactions. It is …
[HTML][HTML] Is VARS more intuitive and efficient than Sobol'indices?
Abstract The Variogram Analysis of Response Surfaces (VARS) has been proposed by
Razavi and Gupta as a new comprehensive framework in sensitivity analysis. According to …
Razavi and Gupta as a new comprehensive framework in sensitivity analysis. According to …
Multi-criteria, time dependent sensitivity analysis of an event-oriented, physically-based, distributed sediment and runoff model
Runoff and sediment yield predictions using rainfall-runoff modeling systems play a
significant role in develo** sustainable rangeland and water resource management …
significant role in develo** sustainable rangeland and water resource management …
The unintended consequences of flood mitigation along inland waterways–a look at resilience and social vulnerabilities through a case study analysis
This project aims to fill such gaps by develo** a model for calculating a Social Fabric
Index (SoFI) using publicly available data that is both replicable and scalable. To test the …
Index (SoFI) using publicly available data that is both replicable and scalable. To test the …