concept

Bayes Factor

Also known as: BF, Bayes factors

Facts (12)

Sources

Protocol for testing global neuronal workspace and integrated ... journals.plos.org PLOS ONE 9 facts

formulaIn the study's statistical framework, a Bayes Factor (BF) greater than 10 is interpreted as strong evidence for the alternative hypothesis (H1), while a Bayes Factor less than 1/10 is interpreted as strong evidence for the null hypothesis (H0).

claimThe researchers define Bayes Factors (BF) from 3 to 10 as moderate evidence and BFs larger than 10 as strong evidence for evaluating theory interpretations.

procedureIn the testing protocol, a Bayes Factor (BF) greater than 10 is interpreted as strong evidence for the hypothesis (H1) that decoding generalization is higher than chance, while a BF less than 1/10 is interpreted as strong evidence for the null hypothesis (H0) that decoding generalization is equal to chance.

claimThe researchers define a Bayes Factor (BF) greater than 10 as strong evidence for the hypothesis (H1) that decoding generalization is higher than chance, and a Bayes Factor less than 1/10 as strong evidence for the null hypothesis (H0) that decoding generalization is equal to chance.

claimIn the study, a Bayes Factor (BF) greater than 10 is interpreted as strong evidence for the hypothesis (H1) that decoding performance is greater in the posterior parietal cortex (PPC) and/or sensory regions, while a BF less than 1/10 is interpreted as strong evidence for the null hypothesis (H0) that performance is equal between regions.

procedureIn the testing protocol, a Bayes Factor (BF) greater than 10 is interpreted as strong evidence for hypothesis H1, which posits that decoding performance in the posterior parietal cortex (PPC) and/or sensory regions is greater than chance following prefrontal cortex (PFC) manipulation. A Bayes Factor less than 1/10 is interpreted as evidence for hypothesis H0, which posits that decoding performance is equal to chance after prefrontal cortex manipulation.

procedureIn the testing protocol, a Bayes Factor (BF) greater than 10 is interpreted as strong evidence for the alternative hypothesis (H1) that the difference in pairwise phase consistency is greater than baseline, while a BF less than 1/10 is interpreted as strong evidence for the null hypothesis (H0) that pairwise phase consistency is equal to baseline.

procedureResearchers will use Bayesian t tests and a half-Cauchy distribution (width, r = 0.707) to calculate Bayes factors (BFs) to interpret evidence for each theory, aiming for a BF of at least 10X in favor of either the alternative or null hypothesis.

claimThe researchers define a Bayes Factor (BF) greater than 10 as strong evidence for the hypothesis (H1) that the spike rate at stimulus offset is greater than the baseline spike rate, and a Bayes Factor less than 1/10 as evidence for the null hypothesis (H0) that the spike rate at stimulus offset is equal to the baseline spike rate.

Adversarial testing of global neuronal workspace and ... - Nature nature.com Nature Apr 30, 2025 3 facts

procedureThe study defined the winning model using the Bayesian Information Criterion (BIC) and computed Bayes factors based on the difference in BIC values to compare the Global Neuronal Workspace Theory (GNWT) model against either the null model or the time-window model.

procedureTo compute Bayes factors on decoding accuracy values, the researchers used a β-binomial approach that compares the marginal likelihood under a point-null hypothesis against a flat B(α=1, β=1) alternative prior.

referenceThe 3p√n rule is a method for calculating approximate objective Bayes factors from P-values and sample size.