Sentence examples for model comparison methods from inspiring English sources

We implement and apply Bayesian model comparison methods, such as Bayes factor ranking and predictive information criteria based on cross-validation techniques under various a priori scenarios.

A recent development in solar atmospheric seismology consists in the use of inversion and model comparison methods based on Bayesian analysis.

Maximum likelihood as well as Bayesian model comparison methods are suitable for selecting a plausible motif model among a set of candidate models.

Using simulations under heterotachous conditions, we explore the properties of three model comparison methods: the Akaike information criterion, the Bayesian information criterion, and cross validation.

In this paper, we wish to show how formal statistical model comparison methods can be applied to a typical systems biology scenario.

The reciprocal importance sampler was shown to perform well [ 18] when compared to other model comparison methods such as reversible jump MCMC or simple information criteria like the BIC.

We address filtering strategy, normalization methods, model comparison, and statistical power considerations below.

Further concerns include the inadequate use of statistical methods, model comparison when different factors are being investigated and the differing format of factors across studies.

The three other schemes were better at fitting the correlation curves but the best model is one from scheme II, that is where splicing is independent of elongation and transcript release (See Figure 2 figure supplement 5 and discussion on Model comparison in 'Materials and methods').

Model comparison showed that our method performed better than traditional ones, in both the evaluation and validation processes.

Although automatic model inference tools and genomic comparison methods are becoming steadily more sophisticated, they may still leave gaps in the model or add erroneous reactions.