Probabilistic sensitivity analysis distributions and parameter settings
Parameter sensitivity analysis for biochemical reaction networks
... parameters. Parameter sensitivity analysis that studies the e ff ects of parameter changes to the behaviour of biochemical networks can be a powerful tool in unravelling their key parameters ...
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Global sensitivity analysis of parameter uncertainty in landscape evolution models
... the sensitivity of the CAESAR-Lisflood model to a range of user-defined parame- ters; therefore, it demonstrates the first application a global SA to a catchment ...a parameter) either due to their known ...
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Parameter sensitivity analysis of a mechanistic model to simulate microalgae growth
... the sensitivity of model outputs with respect to a subset of key input ...as distributions of elementary effects means and standard deviations for each input ...the sensitivity analysis ...
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Parameter sensitivity and uncertainty analysis for a storm surge and wave model
... of probabilistic surge hazard esti- mates is exacerbated by the high dimensionality of numerical surge and wave ...model parameter sen- sitivity analysis of the Delft3D model for the simulation of ...
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When Is a Sensitivity Parameter Exactly That?
... to sensitivity analysis has attracted a lot of at- tention, particularly in the epidemiology ...as probabilistic sensitivity analysis or Monte Carlo sensitivity analysis, ...
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The parameter sensitivity of random forests.
... is parameter-insensitive, or at least robust to changes from default parameter settings ...exhaustive analysis of the parameter-sensitivity of RFs in two large, representative ...
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PROBABILISTIC SEISMIC HAZARD ANALYSIS: A SENSITIVITY STUDY WITH RESPECT TO DIFFERENT MODELS
... this fault has produced an earthquake with magnitude 6.3. Sites having 1 km, 5 km and 10 km closest distances to fault are selected as shown in Figure 2.14. Site names begin with S and continue with closest distance to ...
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Probabilistic sensitivity analysis of optimised preventive maintenance strategies for deteriorating infrastructure assets
... these types of maintenance and minimise overall maintenance costs, controlled over an appropriate 25 time period. The central challenge for those who wish to make informed PM decisions is that de- termining the time to ...
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Probabilistic sensitivity analysis for multivariate model outputs with applications to Li ion batteries
... the sensitivity measures related to (uncorrelated) coefficients in a basis for the output ...as sensitivity analysis (SA) ...a parameter (usually referred to as “factor” of an input ) is ...
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Benchmark and Parameter Sensitivity Analysis of Single-Cell RNA Sequencing Clustering Methods
... and parameter settings by applying them to real and simulated datasets that vary in terms of dimensionality, number of cell populations or levels of ...
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Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods
... When parameter estimation and sensitivity analysis are carried out in the statistical framework, it is necessary to sample the space of uncertain ...For parameter estimation, scalar ...
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Sensitivity analysis and parameter estimation for the distributed modeling of infiltration excess overland flow
... the parameter estimation experiments carried out in the previous sec- 20 tion, a more complex virtual hydrological reality was used for the generation of the synthetic discharge ...spatial distributions ...
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DC fault parameter sensitivity analysis
... Protection devices are, therefore, required to operate with sufficient speed to avoid device failure. A method is introduced to calculate the critical time for protection to operate. Using this method it is then shown ...
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Sensitivity Analysis of Risk Measures for Discrete Distributions
... We consider the computation of quantiles and spectral risk measures for discrete distributions. This accounts for the empirical distributions of portfolio returns or outcomes of Monte Carlo simulations. We ...
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Sensitivity and inverse analysis methods for parameter intervals
... a sensitivity analysis is to evaluate the extent of the changes that occur in a decision- making target or output by varying one or more of the uncertain input ...a sensitivity analysis, the ...
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Sensitivity analysis of the probabilistic damage stability regulations for RoPax vessels
... thorough analysis of the sensitivity of the Attained Sub- division Index with reference to a wide range of related design ...The sensitivity of the probabilistic regulations was investigated ...
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Computational Simulations of Similar Probabilistic Distributions to the Binomial and Poisson Distributions
... SMp(k;n,p) distributions. Also, this obtains the probabilistic distributions for a random discrete variable X with maximum probability in x=µ or x≈µ, and equal to zero in x ≥ Xmax, where µ is the ...
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Computational Simulations of Similar Probabilistic Distributions to the Binomial and Poisson Distributions
... simulating probabilistic distributions that are similar to Poisson distribution, the Matlab function rand is used for generating Xmax random positive numbers ≤ 1, which are compared with success probability ...
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On the use of i-vector posterior distributions in Probabilistic Linear Discriminant Analysis
... The results given in Table VI confirm the quality of the our approach for male speakers. Pooled results for female and male speakers are reported in Table VII for the NIST 2012 SRE evaluation experiments described below. ...
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From distributions to probabilistic reactive programs
... a probabilistic choice operator, which does not replace Dijkstra’s demonic choice [Dij76] — as for example Kozen did [Koz81,Koz85] — , but rather co-exists with it, as described and motivated in ...of ...
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