A Bayesian sampling approach to decision fusion using hierarchical models

IEEE Transactions on Signal Processing

Volumn 50, Issue 8, 2002, Pages 1809-1818

  Chen, Biao ^a,b   Varshney, Pramod K ^a,b  

^a IEEE   (United States)

^b Syracuse University   (United States)

Author keywords

Bayesian inference; Decision fusion; Gibbs sampler; Hierarchical models

Indexed keywords

BAYESIAN SAMPLING; DECISION FUSION;

MATHEMATICAL MODELS; PROBABILITY; PROBLEM SOLVING; SAMPLING; SIGNAL DETECTION;

SENSOR DATA FUSION;

EID: 0036683910     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2002.800419     Document Type: Article

References (20)

1. Special issue on data fusion
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4. Optimum multisensor fusion of correlated local decisions
5. Hardware complexity of binary distributed detection systems with isolatd local Bayesian detectors
6. Optimal data fusion of correlated local decisions in multiple sensor detection systems
7. The good, bad, and ugly: Distributed detection of a known signal in dependent Gaussian noise
8. The selection of prior distributions by formal rules
9. Sampling-based approaches to calculating marginal densities
10. Distributed signal detection under the Neyman-Pearson criterion