可能性
桥(图论)
数理经济学
贝叶斯定理
忽视
选择(遗传算法)
计算机科学
贝叶斯法则
主题(文档)
条件概率
贝叶斯因子
贝叶斯概率
经济
心理学
人工智能
数学
统计
机器学习
逻辑回归
内科学
图书馆学
精神科
医学
作者
Joshua B. Miller,Adam Sanjurjo
摘要
We show how classic conditional probability puzzles, such as the Monty Hall problem, are intimately related to the recently discovered hot hand selection bias. We explain the connection by way of the principle of restricted choice, an intuitive inferential rule from the card game bridge, which we show is naturally quantified as the updating factor in the odds form of Bayes’s rule. We illustrate how, just as the experimental subject fails to use available information to update correctly when choosing a door in the Monty Hall problem, researchers may neglect analogous information when designing experiments, analyzing data, and interpreting results.
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