, Volume 76, Issue 3, pp 305–320 | Cite as

Likelihood, credible and confidence intervals for parameters in complex models

  • Murray AitkinEmail author


Recent papers have discussed general procedures with complex models to obtain confidence interval statements for a parameter of interest in the presence of nuisance parameters. This paper discusses the role of the likelihood in these procedures, and points out the simplicity of the Bayesian credible interval approach to the same models.


Likelihood Pivot Confidence distribution Asymptotic coverage Non-informative prior 


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Copyright information

© Sapienza Università di Roma 2018

Authors and Affiliations

  1. 1.School of Mathematics and StatisticsUniversity of MelbourneMelbourneAustralia

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