Results 1 to 10 of about 69,629 (213)

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

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

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

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 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

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

bridgesampling: An R Package for Estimating Normalizing Constants

Journal of Statistical Software, 2020
Statistical procedures such as Bayes factor model selection and Bayesian model averaging require the computation of normalizing constants (e.g., marginal likelihoods).
Quentin F. Gronau, Henrik Singmann, Eric-Jan Wagenmakers   +2 more
doaj   +1 more source

SHAR and effective SIR models: from dengue fever toy models to a COVID-19 fully parametrized SHARUCD framework

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
doaj   +1 more source