Simple nested Bayesian hypothesis testing for meta-analysis, Cox, Poisson and logistic regression models. [PDF]
Sci Rep, 2023 Rostgaard K.
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Journal of Statistical Theory and Applications (JSTA)Effective risk exposure descriptions can be made using continuous distributions. To illustrate the level of exposure to a certain danger, it is better to use a single number, or at the very least, a small set of numbers.
Vahid Ranjbar +3 more
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History and nature of the Jeffreys-Lindley paradox. [PDF]
Arch Hist Exact Sci, 2023 Wagenmakers EJ, Ly A.
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Comparison of different estimation methods for extreme value distribution. [PDF]
J Appl Stat, 2021 Yılmaz A, Kara M, Özdemir O.
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Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance. [PDF]
J Appl Stat, 2021 Göktaş A, Akkuş Ö.
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A decision-theoretic approach to Bayesian clinical trial design and evaluation of robustness to prior-data conflict. [PDF]
Biostatistics, 2022 Calderazzo S +2 more
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Inference for Inverse Power Lomax Distribution with Progressive First-Failure Censoring. [PDF]
Entropy (Basel), 2021 Shi X, Shi Y.
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Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis. [PDF]
Entropy (Basel), 2022 Robnik J, Seljak U.
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The Dependence of Routine Bayesian Model Selection Methods on Irrelevant Alternatives
, 2012 Bayesian methods - either based on Bayes Factors or BIC - are now widely used for model selection. One property that might reasonably be demanded of any model selection method is that if a model ${M}_{1}$ is preferred to a model ${M}_{0}$, when these two
Smith, Jim Q., Zwiernik, Piotr
core
Continuous Model Averaging for Benchmark Dose Analysis: Averaging Over Distributional Forms. [PDF]
Environmetrics, 2022 Wheeler MW +4 more
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