Approximating Joint Probability Distributions Given Partial Information

Approximating Joint Probability Distributions Given Partial Information

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Article ID: iaor20132482
Volume: 10
Issue: 1
Start Page Number: 26
End Page Number: 41
Publication Date: Mar 2013
Journal: Decision Analysis
Authors: ,
Keywords: entropy, estimation
Abstract:

In this paper, we propose new methods to approximate probability distributions that are incompletely specified. We compare these methods to the use of maximum entropy and quantify the accuracy of all methods within the context of an illustrative example. We show that within the context of our example, the methods we propose are more accurate than existing methods.

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