Sentence examples for inference stems from from inspiring English sources

Bayesian inference stems from the posterior distribution, that is, the conditional distribution of the model parameters given the observed data p θ | C h o l R, where θ denotes the vector of all model parameters, Chol R ) the data vector, p represents the probability density function.

This inference stems from the finding that long GAA repeats suppress transcription of a nearby reporter gene 69; moreover, chromatin immunoprecipitation (ChIP) experiments show a significant enrichment in heterochromatin marks such as hypoacetylation of specific lysine residues on histones around the trinucleotide repeats and on the promoter.

First, the limitation in causal inference, stemming from the cross-sectional nature of the study, would theoretically affect the temporality of the association.

Another argument in favor of these inferences stems from the linear relationship between the average gene length of gene families belonging to the respective functional classes and the proportion of genes with repeats in these classes.

I hypothesize that the interventionist approach to causal inference in epidemiology stems from elevating the randomized trial design to the gold standard for thinking about causal inference.

Maintain that knowledge is that which is garnered through the channels of sense perception and inferences which stem from such should form the basis of theories or beliefs.

The stereo algorithm described in this section stems from the inference principle based on hierarchical belief propagation and energy minimization.

It could be argued that such performance stems from evidence used on probabilistic inferences, but a similar analysis could be done for topological and semantic features.

That objection stems from a popular diagnosis of Gettier cases, namely that inference resting on a false premise cannot yield knowledge (see section 3 of the entry on the analysis of knowledge).

Part of the controversy, therefore, stems from a matter of interpretation, particularly the degree to which inferences should be made about human risk on the basis of such an association.

This stems from the general understanding of 'presumption' in law and science: as an inference that is made on available fact or evidence with the understanding that vital information that can render the inference invalid may be missing.