The Bayesian controversy in animal breeding.
The Bayesian controversy in animal breeding.
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动物育种中的贝叶斯争议。
DOI：
10.2527/2001.7982023x
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发表时间：
2001
影响因子：
3.3
通讯作者：
Agustín Blasco
中科院分区：
文献类型：
--
作者：
Agustín Blasco
讨论了动物育种中的频率主义和贝叶斯科学推理方法。常规的方法在动物育种（选择指数，BLUP，ML，REML）的假设下，这两个学校的推理，并在这两种情况下检查其属性。贝叶斯方法的情况下，先验信息是可用的，先验信息是在某些假设下，先验信息是模糊的，并没有先验信息进行了讨论。提出了遗传值和遗传参数的贝叶斯预测。最后，从理论和实践的角度比较了频率论和贝叶斯方法。贝叶斯方法可以特别有用的一些问题进行了讨论。贝叶斯和频率论的推理学派都已建立，现在除了一些复杂的情况外，它们都没有操作上的困难。有软件可以从任何一个角度分析各种各样的问题。选择一个学派还是另一个学派，应该与一个学派是否有另一个学派没有提供的解决方案有关，与解决问题的容易程度有关，与科学家对他们传达结果的方式感到舒适程度有关。
Frequentist and Bayesian approaches to scientific inference in animal breeding are discussed. Routine methods in animal breeding (selection index, BLUP, ML, REML) are presented under the hypotheses of both schools of inference, and their properties are examined in both cases. The Bayesian approach is discussed in cases in which prior information is available, prior information is available under certain hypotheses, prior information is vague, and there is no prior information. Bayesian prediction of genetic values and genetic parameters are presented. Finally, the frequentist and Bayesian approaches are compared from a theoretical and a practical point of view. Some problems for which Bayesian methods can be particularly useful are discussed. Both Bayesian and frequentist schools of inference are established, and now neither of them has operational difficulties, with the exception of some complex cases. There is software available to analyze a large variety of problems from either point of view. The choice of one school or the other should be related to whether there are solutions in one school that the other does not offer, to how easily the problems are solved, and to how comfortable scientists feel with the way they convey their results.