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这本贝叶斯建模书提供了一个完整的计算贝叶斯统计条目。该书聚焦于最标准的统计模型，并以真实数据集和名为bayess的包罗万象的R(Cran)软件包为后盾，为进行贝叶斯推理提供了一种可操作的方法，而不是专注于其理论和哲学理由。读者有权从一开始就参与到这里描述的真实数据分析情况中。文中特别注意了每种情况下先验分布的推导，并给出了每种模型的具体参考解。同样，计算细节也被设计出来，引导读者对书中给出的方法进行有效的编程。特别地，所有的R码都被详细地讨论，使得它们易于理解和扩展。This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning
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