Sentence examples for ranges of likelihood from inspiring English sources

Exact(2)

Similarly, we may extend the diversity sets for communities of agents to include support functions that cover the ranges of likelihood ratio values (along with ranges of prior comparative support strengths for hypotheses) drawn from the vagueness sets of members of the scientific community.

As for gaps between corresponding utterances and gestures, we approximated the statistics using a Gaussian distribution with the same μ τ and σ τ 2 used in Eqn. (5) in Section 3. To allow for dynamic ranges of likelihood for speech, gestures, and time gaps between utterances and gestures, we set α, β, and γ in Equation 6 appropriately, as the result of a preliminary experiment.

Similar(58)

We accept that the data is a plausible outcome of the model when its likelihood is within the range of likelihood values of typical model outcomes, as described below.

Specifically, for each Arabidopsis gene product p, we assigned a score Si (p) (i = 1,..,14), as a likelihood of mitochondrial localization by comparing performance on GSPmito with performance on GSN∼mito at a range of Likelihood Ratio (LR), and gained ArathMitoP LR for each protein by summing the each log-LR of the fourteen predictors (Materials and Methods, Data S3).

b Range of the likelihood differences between collapsed tree and best tree obtained over 100 simulations, representing the null distribution for the main likelihood comparison.

The 20 identical (except for the starting seed) partitioned rapid ML runs using the 273-OTU matrix produced a range of maximum likelihood values of -42511to -42380.

The ranges of the observed likelihood expected from Eqs. (16) and (17) resulting from uncertainties in the hypocentral parameters are given in normal density function form (arbitrary units) at the bottom.

The ranges of the observed likelihoods due to uncertainties in the earthquake source parameters are given in normal density function form (arbitrary units) at the bottom.

We show that by limiting the dynamic range of log-likelihood ratio, the required LSD list size can be lowered, and, thus, the complexity of the LSD algorithm is decreased.

At the same time it is possible to review the range of assignment likelihoods amongst those misclassified in cross validation for comparison with de-novo samples which may also fall within this range due to significant mixed ancestry.

Risk describes a situation where you have a sense of the range and likelihood of possible outcomes.

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