Identification of skeletal remains obtained by combining probabilities using Bayesian statistics cannot result in a positive identification.

Question

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Bayesian statistics can be used to calculate the probability of a match between a set of skeletal remains and a missing individual, which can be used as evidence in forensic investigations. If the probability of a match exceeds a certain threshold, it may be considered a positive identification. However, this is not a guarantee and other factors, such as post-mortem damage or incomplete skeletal remains, may still make it impossible to definitively identify the individual. Therefore, while Bayesian statistics can provide valuable information in forensic cases, it cannot always result in a conclusive positive identification.

Identification of Skeletal Remains Obtained by Combining Probabilities Using Bayesian