Sentence examples for robust probability from inspiring English sources

Based on the model, a robust probability reasoning is conducted, through which the most probable factors contributing to the occurrence of unexpected consequence are identified.

In the simulations, quantile estimated for various robust probability distributions were calculated.

In the latter case the concept of robust probability of failure is employed which considers a set of possible models for the dynamic system.

First, it introduces the usage of a robust probability metric, i.e., the commute time (CT), to extract visual features for face recognition via a manifold way.

A second contribution is the procedure for design optimization, for which an analytical estimate of the Robust Probability Of Detection, called RPOD, is presented for use as optimality criteria.

In that case, some properties can be derived on the partial robustness of classical methods such as FORM, Monte Carlo or response surfaces to estimate rare failure probabilities under the constraint of the number of expensive model runs, such as robust probability bounds, saved number of model runs or guaranteed variance reduction.

The method allows robust probabilities of class membership to be estimated from nonparametric supervised classification algorithms using a technique known as boosting.

The ELDIT database as described above will provide robust probabilities of outcomes.

When calculating the robust failure probability, the plausibility of each model as a representation of the system's dynamic behavior is quantified by a probability distribution over the set of possible models.

The optimal controller is chosen by minimizing the robust failure probability over a set of possible models for the system.

Results were robust to probability ranges between 0.10 and 0.30.