Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/11719| Author(s): | Andrade, M. Ferreira, Manuel Alberto M. |
| Date: | 2014 |
| Title: | A Bayesian methodology to study the simple maternity search problem |
| Volume: | 6 |
| Number: | 1 |
| Pages: | 15-20 |
| ISSN: | 1337-6365 |
| Keywords: | DNA profiles Bayesian networks Maternity search |
| Abstract: | The use of DNA profiles in forensic identification problems are common procedure nowadays. It was in England, in 1995, where the first DNA profiles database was built. It gave rise to new challenges concerning the forensic identification. Here it is intended to exemplify how to use the analysis of DNA profiles to solve the problem of simple maternity search. For this aim it is necessary to make use of a probabilistic expert system (PES), in this case an object-oriented Bayesian network (OOBN). |
| Peerreviewed: | yes |
| Access type: | Open Access |
| Appears in Collections: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica DM-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| publisher_version_Andrade_Ferreira_2.pdf | 236,17 kB | Adobe PDF | View/Open |
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