arXiv physics/02110492002-11-12physics.data-an

骰子问题的另一种分析

Yet Another Analysis of Dice Problems

Ali Mohammad-Djafari

备注：: Presented at MaxEnt2002, the 22nd International Workshop on Bayesian and Maximum Entropy methods (Aug. 3-9, 2002, Moscow, Idaho, USA). To appear in Proceedings of American Institute of Physics
DOI：: 10.1063/1.1570548

摘要：

在爱达荷州莫斯科举行的MaxEnt 2002研讨会上，Tony Vignaux再次提出了几个关于使用最大熵或贝叶斯方法解决著名的骰子问题的简单问题，这些问题已经在本次研讨会和其他地方进行了多次分析。在此，对这些问题有另一种分析。我希望，这篇论文将回答Tony和研讨会其他参与者的一些问题，这些问题涉及我们可以使用最大熵或贝叶斯方法的情况，甚至是我们实际上可以使用这两种方法的情况。保留字：骰子问题与概率论，极大似然，贝叶斯推断，最大后验概率，熵，最大熵，最大平均熵。

英文摘要：

During the MaxEnt 2002 workshop in Moscow, Idaho, Tony Vignaux asked again a few simple questions about using Maximum Entropy or Bayesian approaches for the famous Dice problems which have been analyzed many times through this workshop and also in other places. Here, there is another analysis of these problems. I hope that, this paper will answer a few questions of Tony and other participants of the workshop on the situations where we can use Maximum Entropy or Bayesian approaches or even the cases where we can actually use both of them. Keywords: Dice problems and probability theory, Maximum Likelihood, Bayesian inference, Maximum A Posteriori, Entropy, Maximum entropy, Maximum entropy in the mean.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。