Abstract
The classical treatment of forensic problems does not provide a satisfactory solution for cases where the forensic evidence stems from an individual who is not included in the group of suspects. The Bayesian solution, through exchangeable prior distribution, can help to assess the degree of evidence against each of the suspects, allowing for their acquittal when the evidence is insufficient.
| Original language | English |
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| Pages (from-to) | 251-258 |
| Journal | Journal of the Royal Statistical Society. Series D |
| Volume | 36 |
| Issue number | 2/3 |
| State | Published - 1987 |