Sentence examples for likelihood so that from inspiring English sources

Both genes produced tree topologies and bootstrap values that were similar to that of Maximum Likelihood, so that the corresponding trees are not reported for brevity.

The analyses were based on the method of restricted maximum likelihood so that all measurements made at baseline (n = 241), and at 4 months (n = 219) and 12 months (n = 207) could be used in the longitudinal analysis.

A further analysis following [ 8] coding somniosid genera Centroselachus, Centroscymnus, Scymnodon, and Zameus as luminous further increases the likelihood so that the common ancestor of all Squaliformes except Squalidae may already have been luminescent (Additional file 1: Figure S8).

Choosing the limit to the change in likelihood so that it was just not statistically significant appeared to be a sensible choice to select a mild degree of penalization.

A maximum-likelihood reconstruction of ancestral states for the presence/absence of a completely functional lsr operon suggests that the operon was present in the last common ancestor of all E. coli (including Shigella) (proportional likelihood = 0.60, this is the scaled likelihood, so that the likelihood of both states add to 1).

These partial agreements may make a sufficient contribution to the likelihoods so that averaging over all hypotheses results in relatively high posterior probability for the multi-cluster scenario.

Furthermore, we found a dose response relation so that likelihood of depression increased with an increasing number of cigarettes smoked per day for current smokers.

We normalize the obtained discrete likelihood probability so that sum_{m=1}^{N_{x}}{pleft(mathbf{x}_{t} = mathbf{x}^{m}|mathbf{y}_{t} = mathbf{y}^{k}right)} = 1,~~~~forall k=1,ldots,N_{y}.

The Mx program uses maximum likelihood estimation so that all twin data can be included, regardless of co-twin data availability.

An S value was selected for the maximum likelihood method, so that the prediction curve obtained by the lognormal model would best fit the Kaplan-Meier graph at one year after the five-year cohort period.

This method allows the exploration of regions of the parameters space with low likelihood by altering the acceptance ratio of the MCMC by a scaling factor β. The scaling factor ranges from 0 to 1 and is applied as an exponent to the likelihood function so that with β = 0 the MCMC samples from the prior distribution only, and with β = 1 the distribution of interest is sampled.