Finally, conditional risk contribution calculations are represented by an event tree model.
However, most studies used the worst trauma experienced, which can lead to an overestimation of the conditional risk of PTSD.
However, going even once through (32) necessitates the conditional risk measure simulation of ES t (L (1)).
In particular, since the essential applications of random functional analysis to conditional risk measures, the idea has also attracted much attention in different aspects [4 13].
The aim of this paper is to present a conditional risk probability-based seawall height design method which incorporates the correlation of the two variables.
In the last ten years, random metric theory and its applications in the theory of conditional risk measures have undergone a systematic and deep development [5 13].
Now, we introduce a kind of lower semicontinuity for (bar {L}^{0} -valued functions, which is very suitable for the study of conditional risk measures [6].
The conditional risk of relapse (cRR), which provides prognostic information on patients who have survived for a period of time without relapse, have not been determined for CSI testicular cancer.
By averaging the conditional risk function over all states h j i, i = 0, 1, 2, we obtain average risk (Levin [1963]): J = ∑ i = 0 2 p i J j i, (11).
In [6], Guo gives some basic results on (L^{0} -convex analysis together with some applications to conditional risk measures and studies the relations among three kinds of conditional convex risk measures.
The Bayes decision rule assigns the face in question described by F to the subject ω ℓ for which the conditional risk begin{array}rcl@ R omega_{ell}|mathbf{F})=sumlimits_{m=1}^{K} L omega_{ell}, omega_{m} p omega_{m}|mathbf{F}) end{array} (22). is minimum, where L(ω ℓ,ω m ) is the loss incurred in deciding the subject ω ℓ when the true subject is ω m, and p(ω m |F) is the posterior PDF [61].
