Conditionality Principle Under Unconstrained Randomness

doi:10.1214/25-STS982

2026-02-01

PRE

Vovk, Vladimir *

DOI：10.1214/25-STS982

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摘要

En 中文

一个非常简单的例子表明，Fisher将条件性原理应用于回归（固定-x回归）的做法，被David Sprott和许多其他追随者所认可，在统计学习理论的背景下使得预测成为不可能。另一方面，放宽条件性要求使得预测成为可能，例如通过一致性预测。

Keyword:

Assumption of randomness

conditionality princi ple

machine learning

prediction

regression

期刊

Statistical Science

IF:

3.4

论文数:

1.0K

被引数:

8.7K

机构

university of london

学者数:

21.5W

论文数: 19.7W

被引数: 305

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