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On the mathematics of the Jeffreys–Lindley paradox

Publication ,  Journal Article
Villa, C; Walker, S
Published in: Communications in Statistics - Theory and Methods
December 17, 2017

This paper is concerned with the well known Jeffreys–Lindley paradox. In a Bayesian set up, the so-called paradox arises when a point null hypothesis is tested and an objective prior is sought for the alternative hypothesis. In particular, the posterior for the null hypothesis tends to one when the uncertainty, i.e., the variance, for the parameter value goes to infinity. We argue that the appropriate way to deal with the paradox is to use simple mathematics, and that any philosophical argument is to be regarded as irrelevant.

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Published In

Communications in Statistics - Theory and Methods

DOI

EISSN

1532-415X

ISSN

0361-0926

Publication Date

December 17, 2017

Volume

46

Issue

24

Start / End Page

12290 / 12298

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0199 Other Mathematical Sciences
  • 0104 Statistics
 

Citation

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Villa, C., & Walker, S. (2017). On the mathematics of the Jeffreys–Lindley paradox. Communications in Statistics - Theory and Methods, 46(24), 12290–12298. https://doi.org/10.1080/03610926.2017.1295073
Villa, C., and S. Walker. “On the mathematics of the Jeffreys–Lindley paradox.” Communications in Statistics - Theory and Methods 46, no. 24 (December 17, 2017): 12290–98. https://doi.org/10.1080/03610926.2017.1295073.
Villa C, Walker S. On the mathematics of the Jeffreys–Lindley paradox. Communications in Statistics - Theory and Methods. 2017 Dec 17;46(24):12290–8.
Villa, C., and S. Walker. “On the mathematics of the Jeffreys–Lindley paradox.” Communications in Statistics - Theory and Methods, vol. 46, no. 24, Dec. 2017, pp. 12290–98. Scopus, doi:10.1080/03610926.2017.1295073.
Villa C, Walker S. On the mathematics of the Jeffreys–Lindley paradox. Communications in Statistics - Theory and Methods. 2017 Dec 17;46(24):12290–12298.

Published In

Communications in Statistics - Theory and Methods

DOI

EISSN

1532-415X

ISSN

0361-0926

Publication Date

December 17, 2017

Volume

46

Issue

24

Start / End Page

12290 / 12298

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0199 Other Mathematical Sciences
  • 0104 Statistics