The proposed framework uses the First-Order Reliability Method (FORM) to evaluate a probability distribution of loss for a suite of spatially distributed buildings.
Combined, this model allows us to evaluate a proportional probability of any given lineage trace.
The only way to evaluate such a probability is to hazard a guess, but the thinking that goes into such guesses is "obscure, a part of the scientifically unfathomable mystery of life and mind," and one can have little faith in its accuracy.
Significance was evaluated at a probability of 5% or less (<0.05).
Significance was evaluated at a probability of 5%% or less.
Statistically significant differences in the density voxel distribution between individual experimental groups were evaluated by a probability t-test (Fig. 3B).
Asymptotic approximations and importance sampling methods are presented for evaluating a class of probability integrals with multiple design points that may arise in the calculation of the reliability of uncertain dynamical systems.
Bayesian probability theory evaluates the (posterior) probability of a hypothesis given prior beliefs about its probability and the likelihood of relevant data.
PEBL evaluates the probability of a discretized dataset given a topology using the BD (Bayesian Dirichlet) scoring metric described elsewhere[ 14].
The assignment submodel evaluates the probability that an individual is assigned to a particular cluster.
