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Titlebook: Bayesian Statistics in Action; BAYSM 2016, Florence Raffaele Argiento,Ettore Lanzarone,Alessandra Matt Conference proceedings 2017 Springer

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發(fā)表于 2025-3-25 03:33:14 | 只看該作者
https://doi.org/10.1007/978-3-030-74009-2e evaluated a new plant variety for resistance and tolerance to a specific virus through a comparison with other well-known varieties. The study is based on two independent Bayesian accelerated failure time models which assess resistance and tolerance survival times. Information concerning plant gen
22#
發(fā)表于 2025-3-25 10:23:48 | 只看該作者
Tej Samani,Ana Isabel Canhoto,Esin Yorukngs. Following Li, Mattei and Mealli [.], we adopt a probabilistic formulation of the assignment mechanism underling RD designs and we select suitable subpopulations around the cutoff point on the basis of observed covariates using both randomization tests and a Bayesian model-based approach both ac
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發(fā)表于 2025-3-25 14:05:37 | 只看該作者
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發(fā)表于 2025-3-25 15:51:03 | 只看該作者
A Bayesian Joint Dispersion Model with Flexible Linksthe CD4 counts’ stability on the survival. The proposed framework outperforms the traditional joint models, highlighting the importance in correctly taking account the individual heterogeneity for the measurement errors variance.
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發(fā)表于 2025-3-25 21:05:11 | 只看該作者
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發(fā)表于 2025-3-26 03:45:58 | 只看該作者
27#
發(fā)表于 2025-3-26 07:22:05 | 只看該作者
A Bayesian Nonparametric Approach to Ecological Risk Assessmentture is consistent with the fact that SSD practitioners do not usually have a strong prior belief on the number of components. In this short paper, we illustrate the advantage of the nonparametric SSD over the classical normal SSD and a kernel density estimate SSD on several real datasets. We summar
28#
發(fā)表于 2025-3-26 12:11:30 | 只看該作者
29#
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