Results 41 to 50 of about 913,957 (308)
A Matlab toolbox for Global Sensitivity Analysis
AbstractGlobal Sensitivity Analysis (GSA) is increasingly used in the development and assessment of environmental models. Here we present a Matlab/Octave toolbox for the application of GSA, called SAFE (Sensitivity Analysis For Everybody). It implements several established GSA methods and allows for easily integrating others. All methods implemented in
Francesca Pianosi +2 more
openaire +2 more sources
Moment-based metrics for global sensitivity analysis of hydrological systems [PDF]
We propose new metrics to assist global sensitivity analysis, GSA, of hydrological and Earth systems. Our approach allows assessing the impact of uncertain parameters on main features of the probability density function, pdf, of a target model output,
A. Dell'Oca +4 more
doaj +1 more source
China bears a heavy burden due to tuberculosis (TB) with hundreds of thousands of people falling ill with the disease every year. Therefore, it is necessary to understand the effectiveness of current control measures in China.
Zhongkai Guo, Liang Zhang
doaj +1 more source
An Inference Method for Global Sensitivity Analysis
Although there is a plethora of methods to estimate sensitivity indices associatedwith individual inputs, there is much less work on interaction effects of every order,especially when it comes to make inferences about the true underlying values ofthe indices.
Gildas Mazo, Laurent Tournier
openaire +2 more sources
Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods [PDF]
Variational methods are widely used for the analysis and control of computationally intensive spatially distributed systems. In particular, the adjoint state method enables a very efficient calculation of the derivatives of an objective function ...
Dartus, Denis +8 more
core +1 more source
Computation of distance to fault on an electrical transmission line is affected by many sources of uncertainty, including parameter setting errors, measurement errors, as well as absence of information and incomplete modelling of a system under fault ...
Zivanovic, R. +2 more
core +1 more source
Distribution‐Based Global Sensitivity Analysis in Hydrology [PDF]
AbstractGlobal sensitivity analysis (GSA) is routinely used in academic setting to quantify the influence of input variability and uncertainty on predictions of a quantity of interest. Practical applications of GSA are hampered by its high computational cost, which arises from the need to run large (e.g., groundwater) models multiple times, and by its ...
Valentina Ciriello +2 more
openaire +1 more source
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
Asymptotic Analysis for the Variance-Based Global Sensitivity Indices
We discuss the estimation of the uncertainty and sensitivity parameters for a model response under the assumption that the input variables are normally distributed and block-wise correlated with the covariance matrix, which is small in some norm.
Pavel M. Bokov
doaj +1 more source
Sensitivity Analysis for Pedestrian-Induced Vibration in Footbridges
This paper aims to provide a novel insight into the influence of uncertainties in system- and pedestrian-induced load parameters on the vibration response of footbridges. The study begins with a sensitivity analysis for the vertical vibration response of
Xiaojun Wei +3 more
doaj +1 more source

