A precise mapping of these processes to changes in response-bout microstructure during extinction [ 18] would provide a foundation for inferences about the processes responsible for differences in performance between strains.
This would be Bayes's theorem — customarily attributed to Thomas Bayes — which deals with determining the probability with which probability ratios can be inferred from observed outcomes, and which provides (a still controversial) foundation for statistical inference.
This depicts the general trend on public clouds and lays the foundation for the inference that a sudden steep decrease in bandwidth can be due to a side channel attack.
Sequence homology approaches are the foundation for functional inference.
Others have developed methods focused on addressing interpretability and directionality of associations, using randomization of genetic variables (Chen et al. 2007) and causal model selection tests (Neto et al. 2013) as a foundation for statistical inference.
In these meta-analyses, more numbers from observational studies may aid in clinical information and establish a more solid foundation for causal inferences [ 11].
It provides theoretical foundations for uncertain inference and uncertain logic.
An important set of papers that have provided the statistical foundations for causal inference in experimental and quasi-experimental studies derives from the work of Neyman (1923) and Rubin (1974), see also; Holland 1986) here referred to as the Rubin Causal Model (RCM).
These pivots provided a foundation for (asymptotic) statistical inference.
When 'one'-phrases are used as minimizers, they profile the minimal unit of a scale, which serves as the foundation for inducing scalar inferences.
