Sentence examples for comparable likelihood from inspiring English sources

A single set of model parameters was needed for input into PAUP* so that comparable likelihood values could be calculated for every topology no matter how it was generated.

We should construct multi-rate codon models that match the performance of REV in a statistical sense, with comparable likelihood scores, but with sufficiently few parameters to be computationally tractable and estimable from reasonable alignments.

This algorithm provided comparable likelihood scores across analyses.

Although experience shows that the majority of cases arrive at a single overwhelmingly likely cause, some cases, particularly if there is scanty or somewhat contradictory information available, may end up with two or three causes of comparable likelihood.

In the original paper about the model the authors stated that the model is not proven concave, so in a case like this it seems like one must worry that a local maximum may have been found (or, even if a global maximum was found, one may consider that another peak of comparable likelihood exists).

As such, a large number of different scenarios gave comparable likelihoods.

Here a wide range of different values of T s gave comparable likelihoods for a fixed value of R0.

Consel compares likelihoods, but the likelihoods calculated by the programs RAxML and GARLI, which were used to generate topologies and estimate models, are not directly comparable [84], [85].

In comparison, the Poisson and negative binomial models produce comparable log-likelihoods (both that are considerably less than those from the sCMP class) because they are unable to effectively model the under-dispersion present in this dataset.

As noted, the SAS procedure provides comparable model likelihoods for both types of models.

Researchers can then examine health responses among individuals with comparable exposure likelihoods, using propensity matching or propensity stratification (Kurth et al. 2006).