Sentence examples for model inference from inspiring English sources

A more statistically robust method for model inference incorporates phylogenetic likelihood [12], and infers substitution rates from a seed alignment, e.g., from mitochondrial sequences [13] or a sample from several protein families [14].

Fig. 5 TreeMix model inference to evaluate the population splits and mixtures among the populations.

We address some derivations for model inference of BGS-NMF parameters and hyperparameters.

Nevertheless, in what follows, we address the model inference procedure for BGS-NMF with LSM prior.

Some experiments are reported to evaluate the performance of model inference and signal reconstruction.

Model inference (also known as reverse engineering) methods are applied in these cases.

We used Multi-Model Inference (MMI) analysis to model woody vegetation cover.

abundance and damage at 8 different spatial scales around 42 oilseed rape fields using a multi-model inference approach.

A multi-model inference approach indicated that topography was the most important predictor of amphibian diversity, with valleys having more than three times the species in other locations.

The methodology integrates statistical downscaling, multi-model inference, stochastic-dynamic modelling and simulations, and spatial projections under a common and interactive framework.

Finally, by incorporating the multi-model inference into each bootstrap iteration, the method also accounts for the uncertainty due to uncertainty in model selection.