The power of forgetting in statistical hypothesis testing

被引:0
|
作者
Vovk, Vladimir [1 ]
机构
[1] Royal Holloway Univ London, Egham, Surrey, England
关键词
conformal testing; conformal test martingales; natural test martingales; online compression models; pivotal models;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper places conformal testing in a general framework of statistical hypothesis testing. A standard approach to testing a composite null hypothesis H is to test each of its elements and to reject H when each of its elements is rejected. It turns out that we can fully cover conformal testing using this approach only if we allow forgetting some of the data. However, we will see that the standard approach covers conformal testing in a weak asymptotic sense and under restrictive assumptions. I will also list several possible directions of further research, including developing a general scheme of online testing.
引用
收藏
页码:347 / 366
页数:20
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