Sentence examples for inference instead of from inspiring English sources

In order to overcome such challenges and take advantage of the merits of recent systems analysis concepts, this paper explores a SPSA approach by integrating the current SPSA framework with a Bayesian network and Bayesian inference instead of utilizing the standard fault tree-based technique.

All 6 global tests are based on statistical inference instead of permutation.

We used this approach for inference, instead of generalized additive models (GAM) (Hastie and Tibshirani 1990), because multiple covariates were included in the model and small effects were expected a scenario in which GAM may overestimate measures of association and underestimate standard errors (Dominici et al. 2002).

Similar criticism against best model inferences has been brought forward by proponents of the IT approach, which focuses on multi-model inferences instead of relying on a single best model (Burnham and Anderson 2002; Lukacs et al. 2010).

In order to analyze the capabilities of an inference algorithm, instead of its employed statistical estimators, we follow [ 25] to obtain an optimal cut-off value I0 for the mutual information values by maximizing the F-score.

Nevertheless, our inference is unbiased because instead of relying on the absolute values of polymorphism, we compared polymorphism between different functional regions of the gene that have the same probability to include a PCR error once differences in sequence length were accommodated (below).

Second, currently unused information in the PID about the interactions between proteins (and other biomolecules), including positive and negative regulation, protein protein binding, and other interactions, would enable the inference of regulatory relationships instead of simple statistical associations.

To reduce the complexity of the inference problem, network motifs were utilized instead of a global TRN inference.

When making inferences from a model, instead of assessing the "correctness" of the assumptions, one should be pragmatic about which expectations can be met given clinical needs and available knowledge.

As described by Hoeting and coworkers [ 1], instead of basing inference on one single model, Bayesian model averaging takes into account all the models considered.

Thus, one main point to be addressed is the incorporation of empirical evidence for actual human behaviour, instead of making inferences about behaviour based on the rational agent model.