Document Type

Closed Project

Publication Date

Spring 2011


Timothy Anderson

Course Title

Research Methods in Engineering Management

Course Number

ETM 565/665


The objective of this paper is to introduce the concept of Bayesian causal mapping which is build from causal maps (CMs). CMs provide a rich representation of ideas, through the modeling of complex structures --representing the chain of arguments-- as networks. However, CMs is not easy to define and the magnitude of the effect is difficult to express in numbers. Hence, Bayesian causal maps can be used to make inferences in CMs.


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