Autor:	Juli Atherton
Rok vydání:	2009
Předmět:	Statistics and Probability Optimal design Mathematical optimization Probability theory Criterion function Bayesian information criterion Simple (abstract algebra) Decision theory Econometrics Inference Statistics Probability and Uncertainty Mathematics Interpretation (model theory)
Zdroj:	Statistics & Probability Letters. 79:707-710
ISSN:	0167-7152
DOI:	10.1016/j.spl.2008.10.017
Popis:	We show that an often-used Bayesian optimal design criterion function fits into a standard decision theoretic framework. This suggests a sensible two-stage decision theoretic approach whereby this criterion function is also used for inference once it is used for design.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8b5519955b88d2c513be75264620c403 https://doi.org/10.1016/j.spl.2008.10.017 Zobrazit plný text záznamu Full Text from ScienceDirect