@inbook{6d8fc7e4b155428d9b305b1f71503764,
title = "Sensitivity Analysis of Bayesian Networks Used in Forensic Investigations",
abstract = "Research on using Bayesian networks to enhance digital forensic investigations has yet to evaluate the quality of the output of a Bayesian network. The evaluation can be performed by assessing the sensitivity of the posterior output of a forensic hypothesis to the input likelihood values of the digital evidence. This paper applies Bayesian sensitivity analysis techniques to a Bayesian network model for the well-known Yahoo! case. The analysis demonstrates that the conclusions drawn from Bayesian network models are statistically reliable and stable for small changes in evidence likelihood values.",
author = "Michael Kwan and Richard Overill and Kam-Pui Chow and Hayson Tse and Frank Law and Pierre Lai",
year = "2011",
doi = "10.1007/978-3-642-24212-0_18",
language = "English",
isbn = "978-3-642-24211-3",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "231--243",
editor = "Peterson, {Gilbert } and Shenoi, {Sujeet }",
booktitle = "Advances in Digital Forensics VII",
}