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Applying Bayes linear methods to support reliability procurement decisions [PDF]
, 2008 Bayesian methods are common in reliability and risk assessment, however, such methods often demand a large amount of specification and can be computationally intensive.
Bedford, Tim +3 more
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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
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Bayes Factors for Mixed Models: a Discussion
Computational Brain & Behavior, 2022 Abstractvan Doorn et al. (2021) outlined various questions that arise when conducting Bayesian model comparison for mixed effects models. Seven response articles offered their own perspective on the preferred setup for mixed model comparison, on the most appropriate specification of prior distributions, and on the desirability of default ...
Johnny van Doorn +29 more
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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
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The bridge between design and analysis
Perspectives on Medical Education, 2017 The overall purpose of the ‘Statistical Points and Pitfalls’ series is to help readers and researchers alike increase awareness of how to use statistics and why/how we fall into inappropriate choices or interpretations. We hope to help readers understand
Jimmie Leppink +2 more
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Empirical Bayes methodology for estimating equipment failure rates with application to power generation plants [PDF]
, 2008 Many reliability databases pool event data for equipment across different plants. Pooling may occur both within and between organizations with the intention of sharing data across common items within similar operating environments to provide better ...
Hutchison, Kenneth +3 more
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Statistical Theory and Related Fields, 2020 The power-expected-posterior prior is used in this paper for comparing nested linear models. The asymptotic behaviour of the method is investigated for different values of the power parameter of the prior.
D. Fouskakis +2 more
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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 +2 more
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Simulation Studies as a Tool to Understand Bayes Factors
Advances in Methods and Practices in Psychological Science, 2021 When social scientists wish to learn about an empirical phenomenon, they perform an experiment. When they wish to learn about a complex numerical phenomenon, they can perform a simulation study. The goal of this Tutorial is twofold.
Don van Ravenzwaaij, Alexander Etz
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Bayes Factors for Partially Observed Stochastic Epidemic Models [PDF]
, 2019 We consider the problem of model choice for stochastic epidemic models given partial observation of a disease outbreak through time. Our main focus is on the use of Bayes factors.
Alharthi, Muteb +2 more
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