Predictive inference, causal reasoning, and model assessment in nonparametric Bayesian analysis: a case study.

E Arjas; A Andreev

doi:10.1023/a:1009620223494

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Predictive inference, causal reasoning, and model assessment in nonparametric Bayesian analysis: a case study.

E Arjas·A Andreev

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Abstract

This paper continues our earlier analysis of a data set on acute ear infections in small children, presented in Andreev and Arjas (1998). The main goal here is to provide a method, based on the use of predictive distributions, for assessing the possible causal influence which the type of day care will have on the incidence of ear infections. A closely related technique is used for the assessment of the nonparametric Bayesian intensity model applied in the paper. Two graphical methods, supported by formal tests, are suggested for this purpose.

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Algorithms Bayes Theorem Child Day Care Centers Child, Preschool Humans Incidence Infant Models, Statistical Otitis Journal Article Research Support, Non-U.S. Gov't

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E Arjas, A Andreev. 2000. Predictive inference, causal reasoning, and model assessment in nonparametric Bayesian analysis: a case study.. https://doi.org/10.1023/a%3A1009620223494

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