Sentence examples for using an empirical likelihood from inspiring English sources

Zhao and Wang [9] constructed confidence regions for the parameters of model (1) by using an empirical likelihood method.

Evidence for adaptive evolution at individual codons was tested using an empirical Bayes method [57]: model M2a, with the maximum likelihood estimated parameters, was taken as a prior distribution for ω, and Bayes' formula was used to calculate the posterior distribution of ω at each codon, given the sequence data.

The position likelihood, P (p | l, T m ), can be either uniform or account for different biases using an empirical model as in Glaus et al. (2012).

The statistics are inferred using an empirical Bayesian method [ 42].

We removed false positive matches using an empirical statistical filter.

In the second step, we use an empirical approach for evaluating the statistical significance of the overall likelihood scores computed for the TFs.

Alternatively, we also used an empirical Bayes t-test.

We used an empirical, qualitative methodology.

By using the empirical likelihood method, Zhang et al. (see, e.g., [14, 15]) described how to build confidence regions for the unknown parameters.

The problem of interest here is to estimate the unknown parameter in model (1.1) by using the empirical likelihood method when auxiliary information is available.

We propose an empirical likelihood-based Akaike information criterion (EAIC) and a Bayesian information criterion (EBIC).