Bayes factor
Separation measures and the geometry of Bayes factor selection for classification
... that Bayes factor selection prefers partitions that combine clusters when they are close with respect to a certain separation ...between Bayes Factor selection and more conventional separation ...
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An Unconditional Exact Test for the Hardy-Weinberg Equilibrium Law: Sample-Space Ordering Using the Bayes Factor
... Much forensic inference based upon DNA evidence is made assuming that the Hardy-Weinberg equilib- rium (HWE) is valid for the genetic loci being used. Several statistical tests to detect and measure deviation from HWE ...
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Derivation of a Bayes Factor to Distinguish Between Linked or Pleiotropic Quantitative Trait Loci
... the Bayes factor between linked and pleiotropic QTL models is ...The Bayes factor is calculated from the marginal prior and posterior densities of the locations of the QTL under a linkage and ...
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Searching a multivariate partition space using weighted MAX SAT
... Following the hybrid AHC algorithm we then ran MAX- SAT on both the clusters obtained by AHC. The clusters obtained are shown in Figures 2 and 3. Both the clusters obtained by AHC have been split up by MAX-SAT. The score ...
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After a pair of self-control-intensive tasks, sucrose swishing improves subsequent working memory performance
... calculating Bayes factors for independent-samples t-tests (Rouder et ...calculated Bayes factors for the three independent samples t-tests that were used to compare OSPAN per- formance between the high- and ...
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Improving Inferences about Null Effects with Bayes Factors and Equivalence Tests
... Although Bayes factors and equivalence tests ask slightly different questions, they can give converging ...the Bayes factor informs us that the data provide substantially more evidence for the null ...
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Alterations in the inferior longitudinal fasciculus in autism and associations with visual processing: a diffusion-weighted MRI study
... Bayes factor, values higher than 1 indicate support for the null hypothesis (suggesting successful replication), whereas values lower than 1 indicate support for the alter- native ...replication ...
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Measuring the effect of observations using the posterior and intrinsic Bayes factors with vague prior information
... The main objective of this paper is to develop diagnostic measures for model checking and also model selection using the posterior and the intrinsic Bayes factor when the prior informati[r] ...
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Bayes factors vs P values
... the Bayes factor performs consistently across various prior ...the Bayes factors are always favoring the full model. The minimum log Bayes factor, for example, is larger than 0 ...(i.e. ...
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What p-value must be used as the Statistical Significance Threshold? P
... Keywords: Statistical Significance; True Null Hypothesis; Bayes Factor; Prior and Posterior Probabilities; Prior and Posterior Odds; False Discovery Rate; Claims of New Discoveries; Ir[r] ...
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A Flexible Bayesian Model for Testing for Transmission Ratio Distortion
... approach to check TRD within a given biallelic genetic marker in a diploid species, providing a highly flexible framework that can accommodate any kind of population structure. This model relies on the genotype of each ...
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A nomogram for Pvalues
... the Bayes factor and the resulting posterior probability of the null hypothesis ...context Bayes factors are usually oriented as P values such that smaller values provide stronger evidence against ...
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Bayesian model comparison via sequential Monte Carlo
... the Bayes factor to the choice of priors should not be overlooked in realistic ...the Bayes factor over a range of possible priors to assess the sensitivity ...the Bayes factor ...
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Differences in basic digital competences between male and female university students of Social Sciences in Spain
... The analysis of the second module, “Interpersonal competences in the use of ICT at university”, showed that both men and women felt they had good interpersonal compe- tence when they “ turned to their peers ” for ...
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Bayesian Modelling of Induced Responses and Neuronal Rhythms
... Compartmental models usually include a large number of parameters that renders the (ill-posed) inverse problem of mapping responses to laminar-specific neuronal sources quite hard. This mapping has been addressed using ...
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Three High Profile Genus Homo Discoveries in the Early 21st Century and the Continuing Complexities of Species Designation: A Review—Part II
... In the second Bayes factor test, there was support for Homo naledi as a sister taxon of Homo antecessor, Asian Homo erectus, Homo habilis, Homo floresiensis, and Homo sapiens and not a s[r] ...
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Incumbents, Challengers and Electoral Risk
... For the BJP, too, the risk ratio was always greater than the odds ratio (meaning that the BF value entered in the last column of Table 4.5 was greater than one). In the 2014 election, the likelihood of a BJP win being an ...
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Addressing the diversity of Xylodon raduloides complex through integrative taxonomy
... BFD: Bayes factor delimitation; BI: Bayesian inference; BIC: Bayesian information criterion; CFMR: Center for Forest Mycology Research; D index: Distance index; DDBJ: DNA Data Bank of Japan; DNA: ...
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Interpretation of gene associations with risk of acute respiratory distress syndrome: P values, Bayes factors, positive predictive values, and need for replication
... hypothesis)(Bayes factor) = (Posterior-odds of null hypothesis) ...The Bayes factor (BF) measures the relative support, from the observed evidence, for two hypotheses: (Probability of the data ...
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Bayesian Approach for Indoor Wave Propagation Modeling
... Abstract—This paper presents a parsimonious Bayesian indoor wave propagation model for predicting signal power in multi-wall multi-floor complex indoor environments. The received power is modeled as a Bayesian multiple ...
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