Results 1 to 10 of about 242,378 (342)

New Estimators of the Bayes Factor for Models with High-Dimensional Parameter and/or Latent Variable Spaces [PDF]

Entropy, 2021
Formal Bayesian comparison of two competing models, based on the posterior odds ratio, amounts to estimation of the Bayes factor, which is equal to the ratio of respective two marginal data density values.
Anna Pajor
doaj   +2 more sources

What is a Bayes Factor?

Psychological Methods, 2020
The use of Bayes Factors is becoming increasingly common in psychological sciences. Thus, it is important that researchers understand the logic behind the Bayes Factor in order to correctly interpret it, and the strengths of weaknesses of the Bayesian approach.
Xenia Schmalz, José Biurrun Manresa, Lei Zhang   +2 more
openalex   +5 more sources

A Good check on the Bayes factor. [PDF]

Behav Res Methods
Bayes factor hypothesis testing provides a powerful framework for assessing the evidence in favor of competing hypotheses. To obtain Bayes factors, statisticians often require advanced, non-standard tools, making it important to confirm that the methodology is computationally sound. This paper seeks to validate Bayes factor calculations by applying two
Sekulovski N, Marsman M, Wagenmakers EJ.
europepmc   +5 more sources

Decision Rules in Frequentist and Bayesian Hypothesis Testing: P-Value and Bayes Factor [PDF]

International Journal of Public Health
Mario Fordellone, Paola Schiattarella, Giovanni Nicolao, Simona Signoriello, Paolo Chiodini   +4 more
doaj   +2 more sources

Bayesian Tests of Two Proportions: A Tutorial With R and JASP

Methodology, 2022
The need for a comparison between two proportions (sometimes called an A/B test) often arises in business, psychology, and the analysis of clinical trial data.
Tabea Hoffmann, Abe Hofman, Eric-Jan Wagenmakers   +2 more
doaj   +1 more source

Informed Bayesian Inference for the A/B Test

Journal of Statistical Software, 2021
Booming in business and a staple analysis in medical trials, the A/B test assesses the effect of an intervention or treatment by comparing its success rate with that of a control condition.
Quentin F. Gronau, Akash Raj K. N., Eric-Jan Wagenmakers   +2 more
doaj   +1 more source

Parallel power posterior analyses for fast computation of marginal likelihoods in phylogenetics [PDF]

PeerJ, 2021
In Bayesian phylogenetic inference, marginal likelihoods can be estimated using several different methods, including the path-sampling or stepping-stone-sampling algorithms.
Sebastian Höhna, Michael J. Landis, John P. Huelsenbeck   +2 more
doaj   +2 more sources

A Bayesian bird's eye view of ‘Replications of important results in social psychology’ [PDF]

Royal Society Open Science, 2017
We applied three Bayesian methods to reanalyse the preregistered contributions to the Social Psychology special issue ‘Replications of Important Results in Social Psychology’ (Nosek & Lakens.
Maarten Marsman, Felix D. Schönbrodt, Richard D. Morey, Yuling Yao, Andrew Gelman, Eric-Jan Wagenmakers   +5 more
doaj   +1 more source

Variability of Bayes Factor estimates in Bayesian Analysis of Variance [PDF]

Tutorials in Quantitative Methods for Psychology, 2021
Bayes Factor estimation for Bayesian Analysis of Variance (ANOVA) typically relies on iterative algorithms that, by design, yield slightly different results on every run of the analysis.
Pfister, Roland
doaj   +3 more sources

A Two-Sample Test of High Dimensional Means Based on Posterior Bayes Factor

Mathematics, 2022
In classical statistics, the primary test statistic is the likelihood ratio. However, for high dimensional data, the likelihood ratio test is no longer effective and sometimes does not work altogether.
Yuanyuan Jiang, Xingzhong Xu
doaj   +1 more source