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• W2896875340 abstract "In social and biomedical sciences, testing in contingency tables often involves order restrictions on cell probabilities parameters. We develop objective Bayes methods for order-constrained testing and model comparison when observations arise under product binomial or multinomial sampling. Specifically, we consider tests for monotone order of the parameters against equality of all parameters. Our strategy combines in a unified way both the intrinsic prior methodology and the encompassing prior approach in order to compute Bayes factors and posterior model probabilities. Performance of our method is evaluated on several simulation studies and real datasets." @default.
• W2896875340 created "2018-10-26" @default.
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• W2896875340 creator A5037435879 @default.
• W2896875340 date "2019-03-22" @default.
• W2896875340 modified "2023-10-03" @default.
• W2896875340 title "Objective Bayesian comparison of order-constrained models in contingency tables" @default.
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• W2896875340 doi "https://doi.org/10.1007/s11749-019-00650-w" @default.
• W2896875340 hasPublicationYear "2019" @default.
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