4 papers
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…
Single-Dataset Meta-Analysis For Many-Analysts And Multiverse Studies
František Bartoš, Suzanne Hoogeveen, Alexandra Sarafoglou +1
Empirical claims often rely on one population, design, and analysis. Many-analysts, multiverse, and robustness studies expose how results can vary across plausible analytic choices…
Living Synthetic Benchmarks: A Neutral and Cumulative Framework for Simulation Studies
František Bartoš, Samuel Pawel, Björn S. Siepe
Simulation studies are widely used to evaluate statistical methods. However, new methods are often introduced and evaluated using data-generating mechanisms (DGMs) devised by the s…
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,…