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
International audienceThe project management field has the imperative to increase the success probab...
This paper provides a practical approach to construct and learn a Bayesian network model that will e...
This overview article for the special series “Bayesian Networks in Environmental and Resource Manage...
Bayesian networks (BNs) offer unique benefits for combining data and expert knowledge to model compl...
International audienceThe project management field has the imperative to increase the project probab...
Successful implementation of major projects requires careful management of uncertainty and risk. Yet...
An organization’s strategic objectives are accomplished through portfolios. However, the mater...
Risk Management has become an important part of Project Management. In spite of numerous advances in...
Currently, significant development of methods supporting decision making under uncertainty condition...
Currently, significant development of methods supporting decision making under uncertainty condition...
Bayesian networks (BN) have recently experienced increased interest and diverse applications in nume...
Generally risk is seen as an abstract concept which is difficult to measure. In this thesis, we cons...
Uncertainty and risks are common elements of all major projects. Yet such uncertainty is rarely effe...
An organization’s strategic objectives are accomplished through portfolios. However, the materializa...
During project implementation, risk becomes an integral part of project monitoring. Therefore. a too...
International audienceThe project management field has the imperative to increase the success probab...
This paper provides a practical approach to construct and learn a Bayesian network model that will e...
This overview article for the special series “Bayesian Networks in Environmental and Resource Manage...
Bayesian networks (BNs) offer unique benefits for combining data and expert knowledge to model compl...
International audienceThe project management field has the imperative to increase the project probab...
Successful implementation of major projects requires careful management of uncertainty and risk. Yet...
An organization’s strategic objectives are accomplished through portfolios. However, the mater...
Risk Management has become an important part of Project Management. In spite of numerous advances in...
Currently, significant development of methods supporting decision making under uncertainty condition...
Currently, significant development of methods supporting decision making under uncertainty condition...
Bayesian networks (BN) have recently experienced increased interest and diverse applications in nume...
Generally risk is seen as an abstract concept which is difficult to measure. In this thesis, we cons...
Uncertainty and risks are common elements of all major projects. Yet such uncertainty is rarely effe...
An organization’s strategic objectives are accomplished through portfolios. However, the materializa...
During project implementation, risk becomes an integral part of project monitoring. Therefore. a too...
International audienceThe project management field has the imperative to increase the success probab...
This paper provides a practical approach to construct and learn a Bayesian network model that will e...
This overview article for the special series “Bayesian Networks in Environmental and Resource Manage...