Why Frequentists and Bayesians Need Each Other

Erkenntnis 78 (2):293-318 (2013)
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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DOI 10.1007/s10670-011-9317-8
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Deborah G. Mayo (2001). Error and the Growth of Experimental Knowledge. International Studies in the Philosophy of Science 15 (1):455-459.

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