in: Wiley StatsRef: Statistics Reference Online, N. Balakrishnan,Theodore Colton,Brian Everitt,Walter Piegorsch,Fabrizio Ruggeri,Jef Teugels, Editor, John Wiley & Sons, West Sussex, UK , New Jersey, pp.1-8, 2017
Bayesian networks (BNs) offer unique benefits for combining data and
expert knowledge to model complex joint probability distributions.
Recent advances in inference algorithms enabled efficient computation of
BNs with both discrete and continuous variables that are also called hybrid BNs.
Consequently, BNs have been widely used as risk assessment and decision
support tools in various domains including project management. This
article illustrates the use of BNs in different aspects of project
management and gives an overview of the relevant studies in this domain.