Results 31 to 40 of about 4,246,376 (189)
On the use of non-local prior densities in Bayesian hypothesis tests [PDF]
, 2010 We examine philosophical problems and sampling deficiencies that are associated with current Bayesian hypothesis testing methodology, paying particular attention to objective Bayes methodology.
Valen E. Johnson +4 more
core +1 more source
Bayes factor based speaker clustering for speaker diarization [PDF]
, 2010 This paper proposes the use of the Bayes Factor to replace the Bayesian Information Criterion (BIC) as a criterion for speaker clustering within a speaker diarization system.
R. Vogt +5 more
core +1 more source
, 2023 The is no other model or hypothesis verification tool in Bayesian statistics that is as widely used as the Bayes factor. We focus on generative models that are likelihood-free and, therefore, render the computation of Bayes factors (marginal likelihood ratios) far from obvious. We propose a deep learning estimator of the Bayes factor based on simulated
Kim, Jungeum, Rockova, Veronika
openaire +2 more sources
Evaluation of elicitation methods to quantify Bayes linear models [PDF]
, 2010 The Bayes linear methodology allows decision makers to express their subjective beliefs and adjust these beliefs as observations are made. It is similar in spirit to probabilistic Bayesian approaches, but differs as it uses expectation as its primitive ...
T Bedford +5 more
core +4 more sources
Bayesian AnalysisWe describe Bayes factors functions based on the sampling distributions of \emph{z}, \emph{t}, $χ^2$, and \emph{F} statistics, using a class of inverse-moment prior distributions to define alternative hypotheses. These non-local alternative prior distributions are centered on standardized effects, which serve as indices for the Bayes factor function ...
Datta, Saptati +3 more
openaire +2 more sources
Open Physics, 2023 Accelerated or partially accelerated life tests are particularly significant in life testing experiments since they save time and cost. Partially accelerated life tests are carried out when the data from accelerated life testing cannot be extrapolated to
Al Mutairi Aned +5 more
doaj +1 more source
Bayes factors in complex genetics [PDF]
European Journal of Human Genetics, 2010 The past few years have seen tremendous progress in our understanding of the genetics underlying complex disease, with associated variants being identified in dozens of traits. Despite the fact that this growing body of empirical evidence unequivocally shows the necessity for extreme levels of significance and large samples sizes, the reasoning behind ...
openaire +2 more sources
Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis
Entropy, 2022 In many hypothesis testing applications, we have mixed priors, with well-motivated informative priors for some parameters but not for others. The Bayesian methodology uses the Bayes factor and is helpful for the informative priors, as it incorporates ...
Jakob Robnik, Uroš Seljak
doaj +1 more source
On Bayes factors for hypothesis tests
Psychonomic Bulletin & ReviewAbstract We develop alternative families of Bayes factors for use in hypothesis tests as alternatives to the popular default Bayes factors. The alternative Bayes factors are derived for the statistical analyses most commonly used in psychological research – one-sample and two-sample t tests, regression, and ANOVA analyses.
Karl Christoph Klauer +2 more
openaire +3 more sources
European Journal of Psychotraumatology, 2017 Threat conditioning procedures have allowed the experimental investigation of the pathogenesis of Post-Traumatic Stress Disorder. The findings of these procedures have also provided stable foundations for the development of relevant intervention programs (
Angelos-Miltiadis Krypotos +2 more
doaj +1 more source