Document Type
Closed Project
Publication Date
Spring 2011
Instructor
Timothy Anderson
Course Title
Research Methods in Engineering Management
Course Number
ETM 565/665
Abstract
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.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/22232
Citation Details
Suharto, Yulianto, "Study of Transforming Causal Maps to Bayesian
Causal Maps" (2011). Engineering and Technology Management Student Projects. 648.
http://archives.pdx.edu/ds/psu/22232
Comments
This project is only available to students, faculty, and staff of Portland State University.