A Fusion Algorithm for Solving Bayesian Decision Problems

Preprint

20 March 2013

preprint
Published by arXiv in arXiv

https://doi.org/10.48550/arXiv.1303.5750

Abstract

This paper proposes a new method for solving Bayesian decision problems. The method consists of representing a Bayesian decision problem as a valuation-based system and applying a fusion algorithm for solving it. The fusion algorithm is a hybrid of local computational methods for computation of marginals of joint probability distributions and the local computational methods for discrete optimization problems.

Keywords

LOCAL COMPUTATIONAL METHODS
BAYESIAN DECISION PROBLEMS
SOLVING BAYESIAN DECISION
PROBABILITY DISTRIBUTIONS
DISCRETE OPTIMIZATION
DECISION PROBLEM
FUSION ALGORITHM

All Related Versions

Version 1, 2013-03-20, ArXiv

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