Results 51 to 60 of about 4,246,376 (189)
Testing theories with Bayes factors
, 2021 Bayes factors are a useful tool for researchers in the behavioural and social sciences, partly because they can provide evidence for no effect relative to the sort of effect expected. By contrast, a non-significant result does not provide evidence for the H0 tested.
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Scientific Journal of Informatics, 2018 The development of existing artificial intelligence technology has been widely applied in detecting diseases using expert systems. Dengue Infection is one of the diseases that is commonly suffered by the community and may cause in death.
Eka Yuni Rachmawati +2 more
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Onp-Values and Bayes Factors [PDF]
Annual Review of Statistics and Its Application, 2018 The p-value quantifies the discrepancy between the data and a null hypothesis of interest, usually the assumption of no difference or no effect. A Bayesian approach allows the calibration of p-values by transforming them to direct measures of the evidence against the null hypothesis, so-called Bayes factors.
Held, Leonhard, Ott, Manuela
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Genetics Selection Evolution, 2007 The implementation of genetic groups in BLUP evaluations accounts for different expectations of breeding values in base animals. Notwithstanding, many feasible structures of genetic groups exist and there are no analytical tools described to compare them
Varona Luis +2 more
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Bayes factors for logistic (mixed effect) models
In psychology, we often want to know whether or not an effect exists. The traditional way of answering this question is to use frequentist statistics.
Elizabeth Wonnacott +2 more
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Bayes factor scoring of GMMs for speaker verification [PDF]
, 2004 This paper implements and assesses the Bayes factor as a replacement verification criterion to the likelihood-ratio test in the context of GMM-based speaker verification.
Vogt, Robert J., Sridharan, Sridha
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Bayes factors for goodness of fit testing [PDF]
Journal of Statistical Planning and Inference, 2007 We propose the use of the generalized fractional Bayes factor for testing fit in multinomial models. This is a non-asymptotic method that can be used to quantify the evidence for or against a sub-model. We give expressions for the generalized fractional Bayes factor and we study its properties.
SPEZZAFERRI, Fulvio +2 more
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From Empirical Bayes to Full Bayes: Methods for Analysing Traffice Safety Data, October 25, 2004 [PDF]
, 2004 Traffic safety engineers are among the early adopters of Bayesian statistical tools for analyzing crash data. As in many other areas of application, empirical Bayes methods were their first choice, perhaps because they represent an intuitively ...
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Objective Bayes Factors for Gaussian Directed Acyclic Graphical Models [PDF]
We propose an objective Bayesian method for the comparison of all Gaussian directed acyclic graphical models defined on a given set of variables. The method, which is based on the notion of fractional Bayes factor, requires a single default (typically ...
Luca La Rocca, Guido Consonni
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A Decision tree-based attribute weighting filter for naive Bayes [PDF]
, 2006 The naive Bayes classifier continues to be a popular learning algorithm for data mining applications due to its simplicity and linear run-time. Many enhancements to the basic algorithm have been proposed to help mitigate its primary weakness--the ...
Hall, Mark A.
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