Robustness considerations in Bayesian analysis.

  • Paul Gustafson
  • Published 1996 in Statistical methods in medical research

Abstract

All statistical analyses demand uncertain inputs or assumptions. This is especially true of Bayesian analyses. In addition to the usual concerns about the agreement of the data and model, a Bayesian must contemplate the effect of an uncertain prior specification. The degree to which inferences are robust to changes in the prior is of primary interest. This… (More)

Cite this paper

@article{Gustafson1996RobustnessCI, title={Robustness considerations in Bayesian analysis.}, author={Paul Gustafson}, journal={Statistical methods in medical research}, year={1996}, volume={5 4}, pages={357-73} }