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What are the Bayesian constraints in the Bayesian reader? Reply to Norris and Kinoshita (2010)

机译:贝叶斯阅读器中的贝叶斯约束是什么?回复诺里斯和木下(2010)

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In this brief reply, I argue that the Bayesian reader can account for any pattern of data (including those not actually observed) because the predictions of the model are largely independent of any Bayesian principles. It is a good thing that the model is flexible, as the implemented model has been falsified by existing data.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/09541446.2010.532120
机译:在此简短答复中,我认为贝叶斯读者可以解释任何数据模式(包括未实际观察到的数据),因为模型的预测很大程度上独立于任何贝叶斯原理。该模型具有灵活性,这是一件好事,因为已实现的模型已被现有数据篡改。查看全文下载全文相关变量var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,twitter,technorati ,delicious,linkedin,facebook,stumbleupon,digg,google,more“,发布编号:” ra-4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/09541446.2010.532120

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