Misper-Bayes: A Bayesian Network Model for Missing Person Investigations

Misper-Bayes: A Bayesian Network Model for Missing Person Investigations

Bayesian Networks are probabilistic graph models that can be used for classification, prediction, diagnosis and parameter learning. Probabilities can be inferred from the models and missing values can be imputed, based on probability theory. Missing person cases place a strain on the already overstr...

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Bibliographic Details
Main Authors: Denis Reilly, Mark Taylor, Paul Fergus, Carl Chalmers, Steven Thompson
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Algorithms
Bayesian methods
computer and information processing
decision support systems
modeling
probability
Online Access:https://ieeexplore.ieee.org/document/9387332/

Internet

https://ieeexplore.ieee.org/document/9387332/

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