Sentence examples for likelihood gained from inspiring English sources

Stanley Price's James Joyce and Italo Svevo: The Story of a Friendship (Somerville) was a simply adorable book; I was chuckling for days afterwards whenever I thought of the absurd fairytale ending, as both his heroes, against all likelihood, gained immense international fame.

Since spatial models include an extra variable -s weighted ethnic spatial lag - it inevitably leads to a likelihood gain.

In the subset of California that we used in the retrospective analysis, the likelihood gain of the EAST ∗EEPAS model with respect to the EEPAS model is more than 0.5 per earthquake.

There are two reasons why we use the likelihood gain: (1) Since the log likelihood values are used in a generative model like a HMM, it is a better choice to optimize the split based on the same criterion as that HMMs use; (2) As explained later (Section 3), DTAMs can use not only acoustic questions but also decoding questions.

The results page presents a brief summary of the jobs; if a job finds a solution, MrGrid will display the Z-Score & Log Likelihood Gain (LLG) in the job summary (Figure 2).

In brief, the test assesses whether the branch being studied provides a significant likelihood gain, in comparison with the null hypothesis that involves collapsing that branch, but leaving the rest of the tree topology identical.

However, the rate of likelihood gain decreased for K values above 7.

In addition to running one hundred bootstrap replicates to estimate levels of branch support, we also implemented the SH-like aLRT, which assesses the likelihood gain of the presence of that branch [ 101].

We recently also used a site-specific class frequency mixture model implemented in QmmRAxML [ 47] to analyze the data and found the mixture model supported the correct topology, albeit with a smaller log likelihood gain (Table 2).

Although the likelihood gain from a stricter convergence threshold is usually small (less than 1), according to our simulation results, this threshold yields parameter values much closer to their true values.

As a measure of the robustness of each node, we used an approximate Likelihood Ratio Test (aLRT), which assesses that the branch being studied provides a significant likelihood gain, in comparison with the null hypothesis that involves collapsing the branch under study but leaving the rest of the tree topology unaffected [ 64].