Deterministic Bayesian Information Fusion and the Analysis of its Performance

15 Nov 2013 Gaurav Thakur

This paper develops a mathematical and computational framework for analyzing the expected performance of Bayesian data fusion, or joint statistical inference, within a sensor network. We use variational techniques to obtain the posterior expectation as the optimal fusion rule under a deterministic constraint and a quadratic cost, and study the smoothness and other properties of its classification performance... (read more)

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