Serafino, Loris (2016) On the de Finetti's representation theorem: an evergreen (and often misunderstood) result at the foundation of Statistics. [Preprint]

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Abstract

This paper reconsider the fundamental de Finetti’s representation theorem. It is stressed its role at the front-line between Probability Theory and Inferential Statistics and its relation to the fundamental problem of relating past observations with future predictions i. e. the problem of induction.

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Item Type:	Preprint
Creators:	Creators Email ORCID Serafino, Loris geoloris@gmail.com
Keywords:	Bruno de Finetti,representation theorem,induction,exchangeability
Subjects:	Specific Sciences > Probability/Statistics
Depositing User:	Dr. Loris Serafino
Date Deposited:	24 Apr 2016 15:00
Last Modified:	24 Apr 2016 15:00
Item ID:	12059
Subjects:	Specific Sciences > Probability/Statistics
Date:	26 March 2016
URI:	https://philsci-archive.pitt.edu/id/eprint/12059

Available Versions of this Item

• On the de Finetti's representation theorem: an evergreen (and often misunderstood) result at the foundation of Statistics. (deposited 27 Mar 2016 21:24)
  • On the de Finetti's representation theorem: an evergreen (and often misunderstood) result at the foundation of Statistics. (deposited 24 Apr 2016 15:00) [Currently Displayed]
  • On the de Finetti's representation theorem: an evergreen (and often misunderstood) result at the foundation of Statistics. (deposited 30 Mar 2016 18:53)

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