From the 1 of 6 linked papers with an AI index.
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Extracting Bayesian Evidence from Frequentist p-Values
Frederik Aust, Samuel Pawel, Eric-Jan Wagenmakers
The paper revisits Jeffreys's Approximate Bayes factor, showing how Bayesian evidence can be derived from frequentist p‑values using the effective sample size, and demonstrates its…
Efficient Bayes Factor Sensitivity Analysis via Posterior Density Ratios
František Bartoš, Eric-Jan Wagenmakers, Maarten Marsman +1
Bayes factor sensitivity analysis examines how the evidence for one hypothesis over another depends on the prior distribution. In complex models, the standard approach refits the m…
The Principle of Redundant Reflection
Martin Metodiev, Maarten Marsman, Lourens Waldorp +2
The fact that redundant information does not update a rational belief implies that rational beliefs are updated using Bayes rule. In the framework of Hild (1998a), this is true und…
Meta-Analysis with JASP, Part II: Bayesian Approaches
František Bartoš, Eric-Jan Wagenmakers
Bayesian inference is on the rise, partly because it allows researchers to quantify parameter uncertainty, evaluate evidence for competing hypotheses, incorporate model ambiguity,…
Meta-Analysis with JASP, Part I: Classical Approaches
FrantiÅ¡ek BartoÅ¡, František Bartoš, Eric-Jan Wagenmakers +1
Meta-analyses play a crucial part in empirical science, enabling researchers to synthesize evidence across studies and draw more precise and generalizable conclusions. Despite thei…