Sentence examples for for which likelihood from inspiring English sources

For six of the seven fitness components for which likelihood estimates could be obtained, there is striking agreement among the ML estimates and/or lower bounds for the genome-wide mutation rate to alleles altering fitness, U, with all falling within the range 1.2 5.0 × 10−3 mutations per generation.

The theorem says that when these conditions are met, according to hypothesis hi (taken together with b·cn), the likelihood is near 1 that that one of the outcome sequence en will occur for which the likelihood ratio is smaller than ε (for any value of ε you may choose).

Little et al. [5] defined a set of parameters to be weakly locally identifiable if the maxima of the likelihood are isolated; they defined parameters to be gradient weakly locally identifiable if the turning points (those for which the likelihood derivative with respect to the parameters is zero) are isolated.

The deep uncertainties, i.e. the variability for which a likelihood cannot be defined, are beginning to be integrated in the decision making process as a few robust decision making procedures have been proposed.

The quantifiable uncertainties, i.e. variability for which a likelihood can be defined, are typically integrated into the management process by considering the reliability or risk level of a structure.

Scores in the mid-range (4 to 6) indicate a clinical scenario for which the likelihood that coronary revascularization will improve health outcomes or survival is uncertain.

The mid range (4 to 6) indicates a clinical scenario for which the likelihood that coronary revascularization would improve health outcomes or survival was considered uncertain.

That is, suppose there are possible outcomes for which the likelihood ratio is very near 1 for just one of the two support functions.

Suppose some rational agent has a degree-of-belief function Q for which the likelihood for e due to h·c agrees with the objective value: Q[e | h·c] = r (e.g. with r = 1/2).

Our tree reconstruction method returns the tree topology for which the likelihood output by EM is higher.

For larger samples and/or more complex models, for which analytic likelihood calculations become intractable, the bSFS could form the basis for alternative inference methods.