You May Believe You Are a Bayesian But You Are Probably Wrong
An elementary sketch of some issues in statistical inference and in particular of the central role of likelihood is given. This is followed by brief outlines of what George Barnard considered were the four great systems of statistical inferences. These can be thought of terms of the four combinations of two factors at two levels. The first is fundamental purpose (decision or inference) and the second probability argument (direct or inverse). Of these four systems the 'fully Bayesiani approach of decision- making using inverse probability particularly associated with the Ramsay, De Finetti, Savage and Lindley has some claims to be the most impressive. It is claimed, however, and illustrated by example, that this approach seems to be impossible to follow. It is speculated that there may be some advantage to the practising statistician to follow George Barnardis advice of being familiar with all four systems.
Volume (Year): 2 (2011)
Issue (Month): 42 (September)
|Contact details of provider:|| Postal: |
Phone: 069 154008-0
Web page: http://www.frankfurt-school-verlag.de/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:rmm:journl:v:2:y:2011:i:42. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Friederike Pförtner)
If references are entirely missing, you can add them using this form.