证据与信仰的力量:我们都是独立的?The strength of evidence versus the power of belief: Are we all Bayesians? |
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课程网址: | http://videolectures.net/icots2010_utts_awab/ |
主讲教师: | Jessica Utts |
开课单位: | 加州大学欧文分校 |
开课时间: | 信息不详。欢迎您在右侧留言补充。 |
课程语种: | 英语 |
中文简介: | 尽管统计学家有根据数据做出结论的工作,但对于科学和社会中的许多问题,先验信念很强,在人们做出决定时可能优先于数据。对于其他问题,有一些专家可以解释可能无法用现有数据捕捉到的情况。贝叶斯统计的一个吸引人的方面是,这些方法允许将先验信念和专家知识与数据一起纳入分析中。有一个领域,信仰几乎肯定会起作用,那就是评估超感官知觉(esp)的科学数据。测试esp的实验通常是二项式的,他们有一个明确的无效假设,因此他们是一个很好的方法来说明假设测试。合并信念使它们成为使用贝叶斯分析的一个很好的例子。本文采用频域法和贝叶斯法对一类电除尘器的研究数据进行了分析。 |
课程简介: | Although statisticians have the job of making conclusions based on data, for many questions in science and society prior beliefs are strong and may take precedence over data when people make decisions. For other questions, there are experts who could shed light on the situation that may not be captured with available data. One of the appealing aspects of Bayesian statistics is that the methods allow prior beliefs and expert knowledge to be incorporated into the analysis along with the data. One domain where beliefs are almost sure to have a role is in the evaluation of scientific data for extrasensory perception (ESP). Experiments to test ESP often are binomial, and they have a clear null hypothesis, so they are an excellent way to illustrate hypothesis testing. Incorporating beliefs makes them an excellent example for the use of Bayesian analysis as well. In this paper, data from one type of ESP study are analyzed using both frequentist and Bayesian methods. |
关 键 词: | 贝叶斯统计; 超感官知觉; 假设检验; 频率统计 |
课程来源: | 视频讲座网 |
最后编审: | 2019-12-10:cwx |
阅读次数: | 41 |