Sentence examples for model averaging procedures from inspiring English sources

The prediction outcomes were combined into a single prediction outcome, using formal methods called model averaging procedures.

A Bayesian analysis called BayesB, that fits all SNPs simultaneously as random effects and uses model averaging procedures, identified 33 SNPs that were included in the model >20% of the time (φ > 0.2) and an additional ten 3-SNP windows that had a sum of φ greater than 0.35.

Finally, model averaging procedures could be used to combine results from single- and joint-family QTL analysis for genotype prediction, but as interest turns towards prediction and away from understanding the underlying genetics of trait variation genomic selection procedures would be the appropriate baseline comparison (Guo et al., 2012; Wimmer et al., 2013).

Generalized mixed effect models followed by a model averaging procedure were applied on weed metrics and permutational multivariate analyses of variance were applied on weed species composition.

The best model (M4) is highlighted in bold and all differences in AIC among models ΔAIC) are computed relative to M4. WAIC are the statistical weights of each model in the model averaging procedure we used.

Simulated experiments are used to evaluate the use of E s2 -optimal and BayE s2 -optimalanddesigns and to compare three analysis strategies representing regression, shrinkage and a novel model-averaging procedure.

In the present study, nonlocal damage models with different averaging procedures are applied to the modelling of fracture in specimens with various boundary types.

In this regard, we also investigate the predictive performance of the three model-averaging procedures considered in this article.

Model-averaging procedures assign probabilities or weights to each candidate model that reflect the degree to which the model is supported by the data.

In order to reduce computational complexity, food features at the fine scale are usually not modeled explicitly but incorporated through averaging procedures into models that operate at the coarse scale.

In this paper, a complex multidimensional formulation is shown to be reducible to a simple lumped-capacitance model via an averaging procedure.