Examples of using Bayesian analysis in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Therefore, the development of a specific probabilistic notation for Bayesian analysis of nursing diagnoses can contribute to discussions about
In short, Bayesian analysis involves three phases:
genetic parameters using bayesian analysis for carcass traits obtained by ultrasound
For this, initially we present two chapters devoted to theoretical contextualization of copula theory and concepts of bayesian analysis. then describe the methodology that will allow us to determine a great copula in any scenario.
SpamWarn consists of a server that performs Bayesian analysis of e-mail on behalf of a client,
BATWING(Wilson and Balding 1998), Bayesian Analysis of Trees With Internal Node Generation,
not of a'pragmatic reality', Bayesian analysis can be an important additional tool for measurement purposes in judgments
how to implement bayesian analysis to fit a copula in a context where the goal is,
Thus, and considering a set of defining characteristics, Bayesian analysis is based on the fact that the final probability of a human response event a posteriori probability,
trnl-f) and bayesian analyses.
using maximum parsimony and bayesian analyses of the trns-trng chloroplast marker sequences.
Zellner contributed pioneering work in the field of Bayesian analysis and econometric modeling.
The bayesian analysis method of inference was used for an initial analysis involving the genomic region¿-tubulin tub2.
Thus, with the Bayesian analysis, a standardized mortality
limitations are attached to the use of Bayesian analysis.
In the master¿s thesis, bayesian analysis is carried out for auto insurance data using models that belong to a class called latent gaussian models.
The most critical areas identified by the Bayesian analysis were more extensive
The priors that are acceptable from an MDL point of view also tend to be favored in so-called objective Bayesian analysis; there, however, the motivation is usually different.
suitable for Bayesian analysis of complex models.
improvements in computational efficiency have largely bridged the gap between frequentist and Bayesian analysis in terms of precision, accuracy, and flexibility.