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.

Description

This project is only available to students, faculty, and staff of Portland State University.

Persistent Identifier

http://archives.pdx.edu/ds/psu/22232

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