Bayesian modeling of uncertainty in constraints
Bayesian modeling of uncertainty in constraints
批准号:
8941562
负责人:
Zhen Chen
金额:
$4.2万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至
中文摘要
贝叶斯约束分析是对被研究系统有一定了解的统计调查的重要分析工具。在典型的分析中,这种知识通常以某些限制的形式使用,这些限制被假定为绝对正确,即百分之百确定。虽然这在某些应用程序中可能是正确的,但在其他应用程序中可能限制太多。在生物医学和流行病学研究中经常出现的情况是,尽管调查人员可能相信这些限制,但他或她可能对这些限制持保留态度。换句话说,这些限制可能是可信的,但不是百分之百确定的。
英文摘要
Bayesian restricted analysis is an important analytical tool for statistical investigation when some knowledge exist about the system under study. In typical analyses, such knowledge are usually used in the form of some restrictions which are assumed to be true definitively, i.e., with one hundred percent certainty. While this might be true in some applications, in others it might be too restrictive. It is often the case in biomedical and epidemiological studies that although the investigator might believe in the restrictions, he or she might have reservations on them. In other words, the restrictions might be believable but no to one hundred percent certainty.
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