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We show that under a common-cause failure model, dependencies between failures can affect the optimal design.
Specifically, after investigation of model dependencies and comparison experiment, we improve the effect of configuration interaction and the treatment of satellite lines.
Traditional Probabilistic Risk Assessments (PRAs) model dependencies through deterministic relationships in fault trees and event trees and parametric models of common cause failure (CCF) events.
The solution is motivated by the need to model dependencies between existing experimental confirmatory HTS assays and improve prediction performance.
If inhomogeneous Poisson processes can model nonstationary data, they are not appropriate to model dependencies between points.
These approaches model the dependency between graphemes and phonemes and the dependency between phonemes, but do not model dependencies between graphemes [12, 17, 28].
Similar(43)
This paper present a technique to model dependency between variables in view of the construction of bivariate distributions based on that dependency structure.
A nonlocal constructive design approach leads to a passivated control scheme with linearity, decentralization and reduced model dependency features as well as nonlocal closed-loop behavior.
This model dependency must be considered when interpreting and comparing results from different research groups.
To address this restrictive model dependency, we propose to extend the UKF to HARDI data modeled by orientation distribution functions (ODFs), a more generic diffusion model.
This means that initial model dependency is not so strong as long as we give sufficient space for variables.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com