Reporting Bayes factors or probabilities to decision makers of unknown loss functions
| dc.contributor.author | Bickel, David R. | |
| dc.date.accessioned | 2016-09-21T14:35:37Z | |
| dc.date.available | 2016-09-21T14:35:37Z | |
| dc.date.issued | 2016-09-19 | |
| dc.description.abstract | An invariant distribution of loss functions leads to reporting weighted geometric means of bounds of either odds or Bayes factors such as likelihood ratios as measures of evidence or to reporting a minimax-distance prior or posterior distribution. | en |
| dc.identifier.uri | http://www.davidbickel.com | en |
| dc.identifier.uri | http://hdl.handle.net/10393/35185 | |
| dc.identifier.uri | https://doi.org/10.20381/ruor-143 | |
| dc.language.iso | en | en |
| dc.subject | combining distributions | en |
| dc.subject | measure of evidence | en |
| dc.subject | strength of statistical evidence | en |
| dc.subject | imprecise probability | en |
| dc.title | Reporting Bayes factors or probabilities to decision makers of unknown loss functions | en |
| dc.type | Working Paper | en |
