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- W4236066833 abstract "Abstract Bayesian networks (BNs) are a mathematically and statistically rigorous technique for handling uncertainty. They allow their user to define a pictorial representation of assumed dependencies and influences among a set of variables deemed to be relevant for a particular inferential problem. Moreover, newly acquired evidence can be processed in a way that complies with the rules of probability calculus. The field of forensic science has recently attributed increased attention to the many advantages of this graphical method for assisting the evaluation and interpretation of scientific evidence." @default.
- W4236066833 created "2022-05-12" @default.
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- W4236066833 date "2009-04-17" @default.
- W4236066833 modified "2023-10-11" @default.
- W4236066833 title "<scp>B</scp> ayesian Networks" @default.
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- W4236066833 doi "https://doi.org/10.1002/9780470061589.fsa123" @default.
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