Least squares approximation in Bayesian analysis.

Michel Mouchart; Léopold Simar

Trabajos de Estadística e Investigación Operativa (1980)

  • Volume: 31, Issue: 1, page 207-222
  • ISSN: 0041-0241

Abstract

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This paper presents in a simple and unified framework the Least-Squares approximation of posterior expectations. Particular structures of the sampling process and of the prior distribution are used to organize and to generalize previous results. The two basic structures are obtained by considering unbiased estimators and exchangeable processes. These ideas are applied to the estimation of the mean. Sufficient reduction of the data is analysed when only the Least-Squares approximation is involved.

How to cite

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Mouchart, Michel, and Simar, Léopold. "Least squares approximation in Bayesian analysis.." Trabajos de Estadística e Investigación Operativa 31.1 (1980): 207-222. <http://eudml.org/doc/40821>.

@article{Mouchart1980,
abstract = {This paper presents in a simple and unified framework the Least-Squares approximation of posterior expectations. Particular structures of the sampling process and of the prior distribution are used to organize and to generalize previous results. The two basic structures are obtained by considering unbiased estimators and exchangeable processes. These ideas are applied to the estimation of the mean. Sufficient reduction of the data is analysed when only the Least-Squares approximation is involved.},
author = {Mouchart, Michel, Simar, Léopold},
journal = {Trabajos de Estadística e Investigación Operativa},
keywords = {Análisis bayesiano; Estimación bayesiana; Mínimos cuadrados; Aproximación; Predicción estadística; least-squares approximation of posterior expectations; linear Bayes; credibility theory},
language = {eng},
number = {1},
pages = {207-222},
title = {Least squares approximation in Bayesian analysis.},
url = {http://eudml.org/doc/40821},
volume = {31},
year = {1980},
}

TY - JOUR
AU - Mouchart, Michel
AU - Simar, Léopold
TI - Least squares approximation in Bayesian analysis.
JO - Trabajos de Estadística e Investigación Operativa
PY - 1980
VL - 31
IS - 1
SP - 207
EP - 222
AB - This paper presents in a simple and unified framework the Least-Squares approximation of posterior expectations. Particular structures of the sampling process and of the prior distribution are used to organize and to generalize previous results. The two basic structures are obtained by considering unbiased estimators and exchangeable processes. These ideas are applied to the estimation of the mean. Sufficient reduction of the data is analysed when only the Least-Squares approximation is involved.
LA - eng
KW - Análisis bayesiano; Estimación bayesiana; Mínimos cuadrados; Aproximación; Predicción estadística; least-squares approximation of posterior expectations; linear Bayes; credibility theory
UR - http://eudml.org/doc/40821
ER -

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