分析人类贝叶斯保守性可取性的统计学和亚统计学考虑

D. Navon
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引用次数: 6

摘要

Goldstein(1979)指出伯努利数据的相互依赖会根据相互依赖的类型导致对概率的高估或低估,并推断保守行为不是相互依赖的必然结果。本文认为,在现实世界中,数据相互依赖对后验概率的影响不能通过纯粹的统计推理来确定。逻辑论证表明,需要保守修正的相互依赖是最典型的。因此,假设数据是条件独立的贝叶斯处理器很可能以膨胀的后验概率结束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical and metastatistical considerations in analysing the desirability of human Bayesian conservatism
Goldstein (1979) showed that interdependence of Bernoulli data can lead to either overestimation or underestimation of odds depending on the type of interdependence, and inferred that conservative behaviour is not a necessary outcome of interdependence. It is argued here that the effect of data interdependence on posterior odds in the real world cannot be determined by pure statistical reasoning. Logical arguments suggest that interdependence which requires conservative revisions is most typical. Thus, a Bayesian processor acting on the assumption that data are conditionally independent is likely to end up with inflated posterior odds.
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