Results 21 to 30 of about 55,839,926 (326)
SALib: An open-source Python library for Sensitivity Analysis
SALib contains Python implementations of commonly used global sensitivity analysis methods, including Sobol (Sobol’ 2001, Andrea Saltelli (2002), Andrea Saltelli et al.
Jon Herman, Will Usher
semanticscholar +1 more source
Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices [PDF]
Sensitivity analysis (SA) has much to offer for a very large class of applications, such as model selection, calibration, optimization, quality assurance and many others.
Andrea Saltelli +7 more
semanticscholar +1 more source
Sensitivity Analysis: An Operational Picture
Modeling is crucial to understand the behavior of environmental systems. A deeper comprehension of a model can be aided by global sensitivity analysis (GSA).
A. Dell’Oca
doaj +1 more source
Sensitivity Analysis and Financial Decisions
The sensitivity analysis illustrates the variation of the value or result of a model in response to changes in some of its key variables, keeping the value of the other variables constant.
Juan Gaytán Cortés
doaj +1 more source
Interference and Sensitivity Analysis
Published in at http://dx.doi.org/10.1214/14-STS479 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
VanderWeele, Tyler +2 more
openaire +7 more sources
Perturbation Sensitivity Analysis to Detect Unintended Model Biases [PDF]
Data-driven statistical Natural Language Processing (NLP) techniques leverage large amounts of language data to build models that can understand language.
Vinodkumar Prabhakaran +2 more
semanticscholar +1 more source
Simplified Identification Strategy of Load Model Based on Global Sensitivity Analysis
Load modeling plays an important role in accessing and enhancing the dynamic stability of power systems. Though the Synthesis Load Model Considering Voltage Regulation of Distribution Network ( $\pi $ model) has high accuracy, its parameters are too ...
Xin Tian +5 more
doaj +1 more source
Sensitivity analysis – methods and applications [PDF]
Literature review of sensitivity analysis methods and applications is presented in the paper. Sensitivity analysis is applied to the problems of input data and model parameters uncertainty and to model validation.
Danuta Szeliga
doaj +1 more source
Sensitivity of Survival Analysis Metrics
Survival analysis models allow for predicting the probability of an event over time. The specificity of the survival analysis data includes the distribution of events over time and the proportion of classes.
Iulii Vasilev +2 more
doaj +1 more source
Fault Sensitivity Analysis [PDF]
This paper proposes a new fault-based attack called the Fault Sensitivity Analysis (FSA) attack, which unlike most existing fault-based analyses including Differential Fault Analysis (DFA) does not use values of faulty ciphertexts. Fault sensitivity means the critical condition when a faulty output begins to exhibit some detectable characteristics, e.g.
Yang Li 0001 +5 more
openaire +2 more sources

