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No inconsistencies in sensitivity analysis
Trends in Ecology & Evolution, 2000We thank Joel Cohen, Jim Cushing and Roger A. Horn for helpful comments. Space limitations do not permit it, but if they did, the following would be co-authors to this letter: Solange Brault, Jean-Dominique Lebreton, Michael Neubert, Richard Sibly, Takenori Takada and Shripad Tuljapurkar.
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A Bayesian approach to sensitivity analysis
Health Economics, 1999Sensitivity analysis has traditionally been applied to decision models to quantify the stability of a preferred alternative to parametric variation. In the health literature, sensitivity measures have traditionally been based upon distance metrics, payoff variations, and probability measures.
Felli, James C., Hazen, Gordon B.
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Sensitivity Analysis of Nonlinear Eigenproblems
SIAM Journal on Matrix Analysis and Applications, 2019Summary: Let \(P : \Omega \subset\mathbb{C} \rightarrow\mathbb{C}^{n\times n}\) be given by \(P(\lambda) :=\sum^m_{j=0}A_j\phi_j(\lambda)\), where \( \phi_j : \Omega \rightarrow\mathbb{C}\) for \(j=0, 1, \ldots, m\) are suitable functions. We present an eigenvector-free framework for the sensitivity analysis of eigenvalues of \(P\).
Rafikul Alam, Sk. Safique Ahmad
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Sensitivity Analysis of the OWA Operator
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008The successful design and application of the ordered weighted averaging (OWA) method as a decision-making tool depend on the efficient computation of its order weights. The most popular methods for determining the order weights are the fuzzy linguistic quantifiers approach and the minimal variability method, which give different behavior patterns for ...
Mahdi Zarghami +2 more
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Sensitivity analysis in Bayesian networks
1995For systems based on Bayesian networks, evidence is used to compute posterior probabilities for some hypotheses. Sensitivity analysis is concerned with questions on how sensitive the conclusion is to the evidence provided. After the basic definitions and an example we conclude that the heart of sensitivity analysis is to compute probabilities for the ...
Jensen, F. V. +2 more
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WCS-analysis of the Context-Sensitive
Acta Informatica, 1975In order to gain some insight into the practically undisclosed phenomenon of general Context-Sensitivity the concept of Weak-Context-Sensitivity proves to be a very useful tool. With the correspondences WCS--recursive and Context-Sensitive--recursively enumberable a strong connection to the well known Analysis of the Unsolvable is established.
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2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023
Han Fu, L. Jeff Hong, Guangxin Jiang
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Han Fu, L. Jeff Hong, Guangxin Jiang
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2003
When modeling real-world problems, we cannot always be sure about the nature of our problem, nor be certain that it is immune to change. In job-shop scheduling, machines can break down, tasks may take longer in reality than in our model, and the market prices for the various commodities may change. Clearly, it would be beneficial if our CSP model could
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When modeling real-world problems, we cannot always be sure about the nature of our problem, nor be certain that it is immune to change. In job-shop scheduling, machines can break down, tasks may take longer in reality than in our model, and the market prices for the various commodities may change. Clearly, it would be beneficial if our CSP model could
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Context-sensitive synchronization-sensitive analysis is undecidable
ACM Transactions on Programming Languages and Systems, 2000Static program analysis is concerned with the computation of approximations of the runtime behavior of programs. Precise information about a program's runtime behavior is, in general, uncomputable for various different reasons, and each reason may necessitate making certain approximations in the information computed. This article illustrates one source
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