A Comparison of Methods for Transforming Belief Function Models to Probability Models-Reference-Cited by-同舟云学术

A Comparison of Methods for Transforming Belief Function Models to Probability Models

Published:2003 Issue: Volume: Page:255-266
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Cobb Barry R.,Shenoy Prakash P.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-45062-7_21

Reference12 articles.

1. Cobb, B.R., Shenoy, P.P.: A Comparison of Bayesian and Belief Function Reasoning. Working Paper No. 292, University of Kansas School of Business (2002)

2. Cobb, B.R., Shenoy, P.P.: On Transformations of Belief Function Models to Probability Models. Working Paper No. 293, University of Kansas School of Business (2003)

3. Cobb, B.R., Shenoy, P.P.: Converting Belief Function Models to Probability Models Using the Plausibility Transformation.Working Paper, University of Kansas School of Business, submitted to UAI–03 (2003)

4. Delmotte, F., Smets, P.: Target Identification Based on the Transferable Belief Model Interpretation of the Dempster-Shafer Model, Part II: Applications. Working Paper, LAMIH-Université de Valenciennes, IRIDIA-Université Libre de Bruxelles (2001)

5. Dempster, A.P.: New Methods of Reasoning Toward Posterior Distributions Based on Sample Data. Annals of Mathematical Statistics 37, 355–374 (1987)

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