Empitical bayes estimations for some distribution families

Empitical bayes estimations for some distribution families

Some estimates of prior density based on orthogonal expansions are proposed for some family of conditional densities. Their related properties are studied. The associated empirical Bayes estimators are also proposed. Three examples are illustrated and some of its Monte Carlo results are also given.

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Veröffentlicht in:Communications in statistics. Theory and methods 1994-01, Vol.23 (5), p.1429-1445
Hauptverfasser: Huang, Wen-Tao, Fu, Hung-Lin, Pao, Hsiao-Tien
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Sprache:eng
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empirical Bayes estimate
estimate of prior density
Orthogonal expansions
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container_end_page 1445
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container_title Communications in statistics. Theory and methods
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creator Huang, Wen-Tao
Fu, Hung-Lin
Pao, Hsiao-Tien
description Some estimates of prior density based on orthogonal expansions are proposed for some family of conditional densities. Their related properties are studied. The associated empirical Bayes estimators are also proposed. Three examples are illustrated and some of its Monte Carlo results are also given.
doi_str_mv 10.1080/03610929408831332
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source Taylor & Francis:Master (3349 titles)
subjects empirical Bayes estimate
estimate of prior density
Orthogonal expansions
title Empitical bayes estimations for some distribution families
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