Sentence examples for coherent inference from inspiring English sources

A coherent inference framework is proposed to predict the realization of engineering concerns during product development so that informed decisions can be made about the system design and the analysis conducted to prove reliability.

The question will be whether it can intelligently sort those signals to make coherent inferences about what to show us and when to believe us.

Theories also contain logical inferences.

Unlike most other shrinkage approaches, the use of a mixture of uniform priors provides a coherent framework for inference based on Bayes factors.

For each node in the network, they define a potential function representing how the global inference is coherent with the local measurement on that node.

This common structure provides the building blocks for the development a coherent theory for Bayesian inference for these models, which has a number of advantages of over more ad hoc methods.

This inference is coherent with our previous findings of associations with biomarkers of inflammation that we observed with multiday averages of primary OC but not recent hourly exposures (Delfino et al. 2008, 2009).

Ultimately, this ensures that inference remains coherent even if the frequency of each class in the test dataset is substantially different from the class frequencies observed in the training dataset (Bishop, 2007).

The purpose behind the development of BEAST is to bring a large number of complementary evolutionary models (substitution models, insertion-deletion models, demographic models, tree shape priors, relaxed clock models, node calibration models) into a single coherent framework for evolutionary inference.

The GMYC analysis (Additional file 1: Figure S1), which was intended to identify the shift from between- to within-population branching patterns [ 32], yielded results consistent with the inference that some of the geographically coherent mtDNA phylogroups are independently evolving populations.

I next chose the Bayesian paradigm of statistical inference as the most coherent and natural approach to assessing causal effects within the Rubin Causal Model.