Comment on "On some statistical paradoxes and non-conglomerability" by Bruce Hill.

Isaac Levi

Trabajos de Estadística e Investigación Operativa (1981)

  • Volume: 32, Issue: 3, page 135-141
  • ISSN: 0041-0241

Abstract

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Those who follow Harold Jeffreys in using improper priors together with likelihoods to determine posteriors have thought of the improper measures as probability measures of a deviant sort. This is a mistake. Probability measures are finite measures. Improper distributions generate σ-finite measures. (...)

How to cite

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Levi, Isaac. "Comment on "On some statistical paradoxes and non-conglomerability" by Bruce Hill.." Trabajos de Estadística e Investigación Operativa 32.3 (1981): 135-141. <http://eudml.org/doc/40657>.

@article{Levi1981,
abstract = {Those who follow Harold Jeffreys in using improper priors together with likelihoods to determine posteriors have thought of the improper measures as probability measures of a deviant sort. This is a mistake. Probability measures are finite measures. Improper distributions generate σ-finite measures. (...)},
author = {Levi, Isaac},
journal = {Trabajos de Estadística e Investigación Operativa},
keywords = {Probabilidad; Distribución de probabilidad; Inferencia bayesiana; sigma-finite measures; conglomerability; finitely additive measures; probability judgement},
language = {eng},
number = {3},
pages = {135-141},
title = {Comment on "On some statistical paradoxes and non-conglomerability" by Bruce Hill.},
url = {http://eudml.org/doc/40657},
volume = {32},
year = {1981},
}

TY - JOUR
AU - Levi, Isaac
TI - Comment on "On some statistical paradoxes and non-conglomerability" by Bruce Hill.
JO - Trabajos de Estadística e Investigación Operativa
PY - 1981
VL - 32
IS - 3
SP - 135
EP - 141
AB - Those who follow Harold Jeffreys in using improper priors together with likelihoods to determine posteriors have thought of the improper measures as probability measures of a deviant sort. This is a mistake. Probability measures are finite measures. Improper distributions generate σ-finite measures. (...)
LA - eng
KW - Probabilidad; Distribución de probabilidad; Inferencia bayesiana; sigma-finite measures; conglomerability; finitely additive measures; probability judgement
UR - http://eudml.org/doc/40657
ER -

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