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Error and uncertainty have two possible sources according to Bolzano: either the premises that one presupposes are uncertain (or even false), or one has used a mere probability inference (WL III, 265 f ., i.e., an inference whose conclusion asserts the truth of a proposition s itself instead of merely asserting the truth of the proposition [s is probable] (WL II 510).
Although correlation has weak interpretative power, compared with discretization, it offers a powerful improvement to the method and carries the benefit of well-understood probability inference.
Count uses phylogenetic birth-and-death models in a stochastic probability inference.
Then, the probability inference could be achieved using inference algorithm, such as junction tree method [ 25, 26].
A method similar to the one of Yu et al. [ 22] was used for probability inference selection, i.e., the calculation of CoDs.
A speciation probability of 1 on a node indicates that every species delimitation model visited by the reverse-jump MCMC algorithm supports the marginal posterior probability inference that two lineages descend from a particular node as 'species'species
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A measure of uncertainties, entropy has been employed in such different applications as coastal engineering probability inferences.
How can what is ineffable even be true, and how can what is neither true nor false serve as the premises of a priori probability inferences and thus as evidence for the truth or falsity of the interpretative claims we make?
These curves allow probability inferences associated with a specific threshold of risk (odds ratio).
To further corroborate the robustness of the data and make probability inferences, we generated bayesian probability curves for each stent with sirolimus-ES as reference; rather than focusing on a single probability value, these curves provide a ranking of competing stent treatments with respect to overall safety and efficacy.
The latter accounts for frequency-to-probability inferences in a comprehensive way.
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