What's So Hard about the Monty Hall Problem?

Rafael C. Alvarado
{"title":"What's So Hard about the Monty Hall Problem?","authors":"Rafael C. Alvarado","doi":"arxiv-2405.00884","DOIUrl":null,"url":null,"abstract":"The Monty Hall problem is notorious for its deceptive simplicity. Although\ntoday it is widely used as a provocative thought experiment to introduce\nBayesian thinking to students of probability, in the not so distant past it was\nrejected by established mathematicians. This essay provides some historical\nbackground to the problem and explains why it is considered so\ncounter-intuitive to many. It is argued that the main barrier to understanding\nthe problem is the back-grounding of the concept of dependence in probability\ntheory as it is commonly taught. To demonstrate this, a Bayesian solution is\nprovided and augmented with a probabilistic graphical model (PGM) inspired by\nthe work of Pearl (1988, 1998). Although the Bayesian approach produces the\ncorrect answer, without a representation of the dependency structure of events\nimplied by the problem, the salient fact that motivates the problem's solution\nremains hidden.","PeriodicalId":501323,"journal":{"name":"arXiv - STAT - Other Statistics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Other Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.00884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Monty Hall problem is notorious for its deceptive simplicity. Although today it is widely used as a provocative thought experiment to introduce Bayesian thinking to students of probability, in the not so distant past it was rejected by established mathematicians. This essay provides some historical background to the problem and explains why it is considered so counter-intuitive to many. It is argued that the main barrier to understanding the problem is the back-grounding of the concept of dependence in probability theory as it is commonly taught. To demonstrate this, a Bayesian solution is provided and augmented with a probabilistic graphical model (PGM) inspired by the work of Pearl (1988, 1998). Although the Bayesian approach produces the correct answer, without a representation of the dependency structure of events implied by the problem, the salient fact that motivates the problem's solution remains hidden.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
蒙蒂-霍尔问题有什么难的?
蒙蒂-霍尔问题因其具有欺骗性的简单性而臭名昭著。尽管今天它被广泛用作向概率论学生介绍贝叶斯思想的启发性思想实验,但在不久的过去,它却被成熟的数学家所拒绝。本文介绍了这一问题的一些历史背景,并解释了为什么许多人认为它有悖于直觉。本文认为,理解这个问题的主要障碍在于概率论中依赖性概念的背景,因为概率论通常是这样讲的。为了证明这一点,我们提供了一种贝叶斯解法,并受 Pearl(1988 年,1998 年)的工作启发,使用概率图形模型 (PGM) 对其进行了补充。虽然贝叶斯方法得出了正确的答案,但由于没有问题所暗示的事件依赖结构的表示,促使问题解决的突出事实仍然被隐藏起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Censored Data Forecasting: Applying Tobit Exponential Smoothing with Time Aggregation How to survive the Squid Games using probability theory Cross-sectional personal network analysis of adult smoking in rural areas Modeling information spread across networks with communities using a multitype branching process framework Asymptotic confidence intervals for the difference and the ratio of the weighted kappa coefficients of two diagnostic tests subject to a paired design
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1