Sentence examples for a more complex likelihood from inspiring English sources

Large N max tend to generate a more complex likelihood surface and thus the possibility for the estimator being stuck at a local minimum increases with N max.

Furthermore, in some cases a more complex likelihood ratio test can work around the marginalization issue even while involving only variables in { M1, M2, E1, E2}.

For this, the likelihood of a more complex model was compared with a nested simpler model, and significance was assessed using a likelihood ratio test.

In those cases, a more complex framework specifies beliefs about the likelihood of possible states of the world, preferences over the consequences of choices in those worlds, and an aggregation mechanism of these preferences under those beliefs.

The latter was shown by the Akaike's information criterion: it calculated that there is a 95.8% likelihood that a simple model where all hill slopes of the growth curves (representing growth speed) was correct compared to only a 4.2% likelihood that a more complex model with a different hill slope for each curve was correct.

This is a more complex process that uses historical data to determine the likelihood of payment based on how many days past due an invoice is.

Positive evidence based on BF was interpreted as requiring at least a ten units increase in marginal likelihood per additional free parameter before accepting a more complex model [ 45, 46].

A solid nodule that is completely round has a lower likelihood of malignancy compared with solid nodules with a more complex shape.

A likelihood ratio test (LRT), then, was used to compare a more complex model (the retained factor solution) with a simpler model (one-factor solution).

For this a likelihood ratio test (LRT) is conducted to address a significant fit of a more complex model in comparison to a nested simpler model.

A maximum likelihood tree of S4 shows disagreement with the standard bacterial phylogeny, indicating a more complex evolutionary history than previously known.