Sentence examples for few divergence from inspiring English sources

Given that models with many divergence events can have small marginal likelihoods due to the uniform priors on divergence-time parameters, the U-shaped prior will effectively create a strong prior preference for models with very few divergence events.

When the variance of random divergence times is small, all of the models in Table 2 are expected to struggle to detect this variation and will often incorrectly estimate highly clustered models of divergence (i.e., few divergence events).

As expected based on the results of Oaks et al. [ 7], when the Philippines data are analyzed under the M m s B a y e s model, there is strong support for very few divergence events shared among all 22 pairs of taxa, with a maximum a posteriori (MAP) estimate of one-shared divergence.

When most transcripts have low abundance and are unchanged between samples and just a few similar transcripts have larger abundance changes, then JSD* can be large, yet only a few divergence nodes observe large flow changes, and these are attenuated by the remaining unchanged nodes to create an FDM value that is not exceptional under permutation testing.

Lowe pointed out a few divergences between Tutankhamun's tomb and his reconstruction of it.

A few divergences from recorded versions, like a bombastic buildup on "Maybe I'm Amazed" and Wix Wickens's keyboard overlay on "I Saw Her Standing There," were mistakes.

Although much of his work is paraphrase and commentary on these two sources, Israeli's thought did include a few divergences from al-Kindi, such as the idea of the emanation of shadow, and a reversal of the process of intellection described in al-Kindi's model.

The ELISA assay was performed according to the manufacturer's instructions with a few divergences.

The few divergences we have just mentioned are not, however, subject to significant debate.

Given that the marginal likelihood of a model weighted by its prior is what determines its posterior probability, this can cause support for models with fewer divergence events [ 7, 15].

The fact that the posterior shifts toward the prior under the informative prior suggests that the shift away from the prior toward fewer divergence events under the diffuse prior might still be caused by small marginal likelihoods of models with more divergence-time parameters.