Results 1 to 10 of about 4,246,376 (189)
A Good check on the Bayes factor. [PDF]
Behav Res MethodsBayes 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.
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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
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Decision Rules in Frequentist and Bayesian Hypothesis Testing: P-Value and Bayes Factor [PDF]
International Journal of Public HealthMario Fordellone +4 more
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Reporting of second-generation p-values, Bayes factors and fragility indices in trials enhances assessment of clinical importance beyond p-values: a meta-epidemiologic study [PDF]
Contemporary Clinical Trials CommunicationsIntroduction: Frequentist methods of statistical inference in randomized controlled trials (RCTs) may inadequately reflect clinical importance of results.
Tonya M. Esterhuizen +7 more
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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 +2 more
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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 +2 more
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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 +2 more
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Communication in Biomathematical Sciences, 2020 We review basic models of severe/hospitalized and mild/asymptomatic infection spreading (with classes of susceptibles S, hopsitalized H, asymptomatic A and recovered R, hence SHAR-models) and develop the notion of comparing different models on the same ...
Maira Aguiar, Nico Stollenwerk
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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 +2 more
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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 +5 more
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