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We consider a probable model of the magma supply system at Unzen volcano on the basis of the results obtained in this study, and in recent studies conducted by other researchers.
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We allowed the program to determine the most probable model of protein evolution (aamodel), and specified an inverse gamma distribution of variability in substitution rate.
Instead, we estimated a family or ensemble of probable model parameter sets [36] [38] using a Multi-Objective Thermal Ensemble (MOTE) technique (materials and methods).
They can be estimated by (see [ 19]) (6) Once the probability of the model is known, we can select the most probable model from a set of competitive models using the Bayes factor BF = p(Y | M i )/ p(Y | M j ).
The selection of the most probable model from among a finite set of fracture geometry and loading model is carried out using Bayes factors.
A Bayesian approach is presented for selecting the most probable model class among a set of damage mechanics models for fatigue damage progression in composites.
Figure 7 shows results of the ChIP evaluation based on the MAP regulator configuration for every gene, ranked by the posterior probability of this most probable model.
Estimates of the close-to-linear parameters in the most probable model are made using 85 observations of the conversion of methane made over a 20 wt% Ni/α-alumina catalyst.
To identify the most probable model, we computed the posterior probability of the three scenarios above using a logistic regression approach on the first 1% simulations (Fagundes et al. 2007; Beaumont 2008).
The objectives of the current study were to determine if HIT was one among the factors and, if so, propose a probable retention model that incorporates implementation and use of HIT as a strategy.
We estimated the posterior probability for each K by assuming a uniform prior on K = {1, …, 7} and determined that K = 6 is the most probable model that captures the majority of structure in the data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com