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This paper uses conditional value-at-risk (CVaR) measures to model risks associated with the decisions in a stochastic environment.
In order to actually model risks associated with haplotypes, it is assumed that the haplotype phases have been resolved computationally prior to the risk analysis.
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As the choice of an interpolating function is still arbitrary, we study the model risk associated to different choices.
As an application, we compute the price and value adjustments for a basis swap, and study the model risk associated to different interpolating functions.
The final Section "Computation of XVA in affine LIBOR models" outlines the computation of value adjustments in affine LIBOR models, and discusses the model risk associated with the choice of interpolating functions.
Since both the risk and the frequency of occurrence of pool fires are high, it is necessary to model the risks associated with pool fires so as to correctly predict the behavior of such fires.
Our analysis shows that flexible modeling provides new insights regarding the value of CRP as a prognostic factor in NSCLC and that Cox's PH model underestimates early risks associated with high CRP.
Models to describe risks associated with natural hazards have proliferated in recent years.
Models to assess risks associated with varying doses of exposure rest almost entirely on data about cancer.
When included in the same multivariate models, the estimated risks associated to ZBTB12-DMR and LINE-1 methylation profiles were not attenuated by the adjustment for known risk factors (Additional file 2: Table S3A and B), suggesting that they independently contribute to MI risk estimate.
In Beck's model, risks are associated with future events.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com