Why Frequentists and Bayesians Need Each Other

被引：12

作者：

Williamson, Jon ^{[1
]}

机构：

[1] Univ Kent, SECL, Canterbury CT2 7NF, Kent, England

来源：

ERKENNTNIS | 2013年 / 78卷 / 02期

关键词：

INDUCTIVE INFERENCE; PROBABILITY;

D O I：

10.1007/s10670-011-9317-8

中图分类号：

B [哲学、宗教];

学科分类号：

01 ; 0101 ;

摘要：

The orthodox view in statistics has it that frequentism and Bayesianism are diametrically opposed-two totally incompatible takes on the problem of statistical inference. This paper argues to the contrary that the two approaches are complementary and need to mesh if probabilistic reasoning is to be carried out correctly.

引用

页码：293 / 318

页数：26

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