Bayesian inference in applied statistics.

Arthur P. Dempster

Trabajos de Estadística e Investigación Operativa (1980)

  • Volume: 31, Issue: 1, page 266-279
  • ISSN: 0041-0241

Abstract

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The task of assessing posterior distributions from noisy empirical data imposes difficult requirements of modelling, computing and assessing sensitivity to model choice. Seasonal analysis of economic time series is used to illustrate ways of approaching such difficulties.

How to cite

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Dempster, Arthur P.. "Bayesian inference in applied statistics.." Trabajos de Estadística e Investigación Operativa 31.1 (1980): 266-279. <http://eudml.org/doc/40825>.

@article{Dempster1980,
abstract = {The task of assessing posterior distributions from noisy empirical data imposes difficult requirements of modelling, computing and assessing sensitivity to model choice. Seasonal analysis of economic time series is used to illustrate ways of approaching such difficulties.},
author = {Dempster, Arthur P.},
journal = {Trabajos de Estadística e Investigación Operativa},
keywords = {Inferencia bayesiana; Datos con ruido; Modelos estadísticos; Series temporales},
language = {eng},
number = {1},
pages = {266-279},
title = {Bayesian inference in applied statistics.},
url = {http://eudml.org/doc/40825},
volume = {31},
year = {1980},
}

TY - JOUR
AU - Dempster, Arthur P.
TI - Bayesian inference in applied statistics.
JO - Trabajos de Estadística e Investigación Operativa
PY - 1980
VL - 31
IS - 1
SP - 266
EP - 279
AB - The task of assessing posterior distributions from noisy empirical data imposes difficult requirements of modelling, computing and assessing sensitivity to model choice. Seasonal analysis of economic time series is used to illustrate ways of approaching such difficulties.
LA - eng
KW - Inferencia bayesiana; Datos con ruido; Modelos estadísticos; Series temporales
UR - http://eudml.org/doc/40825
ER -

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