Sentence examples for preliminary probabilities from inspiring English sources

Scientific modeling and decision analysis have roots in Bayesian statistics, an inferential statistics in which preliminary probabilities are assigned for certain outcomes ("priors"), then adjusted quantitatively in response to evidence, observations, and assumptions.

The preliminary probability of each combination is evaluated, and event combinations with extremely low probability are excluded from further analysis.

GA-SVM is proposed for finding preliminary probability in identifying tumor class and GA-ANN is used for confirmation of accuracy.

The objective of this paper is to produce a preliminary list of safety-significant external event combinations including preliminary probability estimates, to be used in the probabilistic risk assessment of Hanhikivi 1 plant.

For each analysis, a preliminary probability threshold (P < 0.05) was applied to the corresponding voxel statistic maps and subthreshold voxels were set to 0, thus creating a set of suprathreshold voxel clusters.

The final priority weights of events are defined by considering their project-specific preliminary weights, probability of occurrence, and effects on the victim and the company.

The p-value is called statistically significant if it is unlikely that the differences occurred by chance alone, according to a preliminary chosen threshold probability, the significance level α (common choices are e.g. α ∈ {0.10,0.05,0.01}).

The VAPAH algorithm combined magnitude-frequency relationships for Asia-Pacific sources, an ALPE catalogue and global scale meteorological conditions for the region and integrated across all possible events to arrive at a preliminary annual exceedance probability for each site.

The VAPAH algorithm reads in magnitude-frequency relationships, an ALPE catalogue and global scale meteorological conditions for a region of interest and integrates across all possible events to arrive at a preliminary annual exceedance probability for each site across the region of interest.

The VAPAH algorithm combines magnitude-frequency relationships, a catalogue of Ash Load Prediction Equations (ALPEs) and global scale meteorological conditions for a region of interest and integrates across all possible events to arrive at a preliminary annual exceedance probability for each site across the region of interest.

To eliminate any subjective elements and enable a fair comparison, we decided to compare directly on their preliminary output, the network probability matrices.