Why Frequentists and Bayesians Need Each Other

Erkenntnis 78 (2):293-318 (2013)
Abstract
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
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References found in this work BETA
Colin Howson (2001). The Logical Basis of Uncertainty. In David Corfield & Jon Williamson (eds.), Foundations of Bayesianism. Kluwer Academic Publishers. 137--159.

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