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Four foundational questions in probability theory and statistics

机译:概率理论与统计中的四个基本问题

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This study has the purpose of addressing four questions that lie at the base of the probability theory and statistics and includes two main steps. In the preliminary step, we conduct the textual analysis of the most significant works written by eminent probability theorists. The textual analysis turns out to be a rather innovative method of study in this domain and shows how the sampled writers-no matter whether a frequentist or a subjectivist-share a similar approach. Each author argues on the multifold aspects of probability, and then, he establishes the mathematical theory on the base of his intellectual conclusions. It may be said that mathematics ranks second. In the second stage of the present research, we address the four questions mentioned above using a purely mathematical approach instead of the way followed by the surveyed authors. This approach is not new, as Hilbert proposed to axiomatize the probability calculus; notably, he recommended to describe the probability concepts exclusively on the basis of mathematical criteria. In particular, we use two theorems that prove how the frequentist and the subjectivist models are not incompatible as many believe. Probability has distinct meanings under different hypotheses, and in turn, classical statistics and Bayesian statistics are available for adoption in different circumstances. Subsequently, these original conclusions are commented upon, followed by our conclusions.
机译:本研究目的是解决潜在理论和统计基础的四个问题,并包括两个主要步骤。在初步步骤中,我们开展了杰出概率理论家所写最重要的作品的文本分析。文本分析结果是在该领域成为一种相当创新的学习方法,并展示了采样的作者如何 - 无论频繁的事务还是主观主义者 - 共享类似的方法。每个作者都争论概率的多层方面,然后,他建立了对他的知识结论基础的数学理论。可能会说数学排名第二。在本研究的第二阶段,我们使用纯粹的数学方法来解决上述四个问题,而不是被调查作者的方式。这种方法并不是新的,因为希尔伯特提出将概率微积分公开;值得注意的是,他建议在数学标准的基础上专门描述概率概念。特别是,我们使用两个定理,证明频繁的频率和主观主义模型如何不兼容,因为许多人相信。概率在不同假设下具有明显的含义,反过来,古典统计和贝叶斯统计可以在不同情况下采用。随后,这些原始结论评论,其次是我们的结论。

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