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The likelihood models are defined as parametric functions of these two features.
The parameters of the likelihood models in (14) and (15) are estimated via EM.
This initiative is a generalization of the experiment carried out in California, named the Regional Earthquake Likelihood Models (RELM, www.relm.org; Schorlemmer et al., 2007).
For moderate-sized earthquakes, regionalized earthquake likelihood models are now being prospectively tested (e.g., Jordan, 2006; Field, 2007; Schorlemmer et al., 2007; Nanjo et al., 2011).
To derive the a posteriori DSPP, we propose likelihood models for the DOA estimates under the hypotheses (mathcal {H}_{s}), (mathcal {H}_{i}), and (mathcal {H}_{v}).
Developments in ancestral reconstruction methods, particularly more realistic likelihood models of molecular evolution, allow for the accurate reconstruction of more ancient proteins than previously possible.
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Quasi-likelihood models can be fitted using a straightforward extension of the algorithms used to fit generalized linear models.
These methods take into account across-gene heterogeneity in evolutionary rates by using partitioned-likelihood models, which allow each gene to evolve under a different model.
Maximum-likelihood models M0, M1a, M2a, M7 and M8 were used for the analysis.
Molecular adaptation tests on the Potamogeton rbcL codon sites and reconstruction of the ancestral rbcL sequences were performed using maximum-likelihood models and programs included in PAML ver. 4.1 [25] [27], [48], [49].
Multiple regressions were performed based on maximum-likelihood models (ML) which control for phylogeny by referring to an internal matrix of expected covariances among species based on their degree of shared ancestry.
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