Sentence examples for distinct likelihood of from inspiring English sources

Another wicket then and there was the distinct likelihood of a substantial, potentially match-losing deficit.

The nearly 1,000-page 1,000-pageentions only in passing the potential of oil releasedocumenthigh pressure to formentionsea plumes, despite previonlystudins showing the distinct likelihood of such an event.

Before you call the travel agent, you might like to know that insurance companies consider polo to be one of the most dangerous sports in the world, given the distinct likelihood of your being separated from your mount at 40mph.

But it's not at all clear that ideology inspired him to act out murderously, even if the fact that the dead were all black or Hispanic raises the distinct likelihood of a racial motivation in that crime.

Immunohistochemical analysis of BMI1 and/or Gli-1 in all post-CRT ESCC patients seems highly informative and convenient in the stratification of patients into subgroups with a distinct likelihood of therapy failure.

Our results demonstrate that nucleotide positions within murine and human DNA have distinct likelihoods of single base replacement that can be predicted in part from local sequence environment (e.g., see supplementary fig. S2, Supplementary Material online).

Simulation results indicate that different mechanisms of gene retentions produce distinct likelihood functions, which can be used with genomic data to quantitatively distinguish those mechanisms.

Even if there was a reconciliation of numbers between the surveys, and the Hindu population has not grown as highly as Pew suggests, there's a distinct likelihood that the Hindu population in this country is upwards of 2.5 million.

Since it is very unlikely that all three genes would be spuriously activated if their promoters are so distinct, the likelihood of false-positives is reduced.

First of all, each node r maintains an ordered list of distinct likelihoods.

Given a set of data, one seeks to compare the goodness-of-fit of Bayesian models that have distinct likelihoods or distinct priors and to search for the optimal hyper-parameter values.