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Bayesian Networks in Project Management
Date
2017-01-01
Author
Yet, Barbaros
Metadata
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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.
Subject Keywords
Bayesian networks
,
Belief networks
,
probabilistic graphical models
,
Project management
,
Project scheduling
,
Return on investment (ROI)
,
Project risk analysis
,
Decision support
URI
http://dx.doi.org/10.1002/9781118445112.stat07966
https://hdl.handle.net/11511/74056
Relation
Wiley StatsRef: Statistics Reference Online
Collections
Graduate School of Informatics, Book / Book chapter
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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 m...
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B. Yet,
Bayesian Networks in Project Management
. 2017.