Decision Theoretic Approaches for Focussed Bayesian Fusion
Jennifer Sander, Jürgen Beyerer
Sensor Data Fusion: Trends, Solutions, Applications at INFORMATIK 2011 - Informatik schafft Communities
Berlin 2011
Berlin 2011
Abstract: Focussed Bayesian fusion is a local Bayesian fusion technique by that high costs caused by Bayesian fusion can get circumvented. This publication addresses globally optimal decision making on the basis of a focussed Bayesian model. Therefore, common decision criteria under linear partial information and in particular principles of lazy decision making are applied. We also present an interval scheme for global posterior probabilities whose informativeness is notably high.