Efficient distributed sensing using adaptive censoring-based inference

DOI10.1016/J.AUTOMATICA.2014.04.013zbMath1296.93186OpenAlexW1970240412WikidataQ60022194 ScholiaQ60022194MaRDI QIDQ458853

Beipeng Mu, Jonathan P. How, Girish Chowdhary

Publication date: 8 October 2014

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1721.1/108574

zbMATH Keywords

conjugacyconsensusBayesian parameter estimationvalue of information (VoI)

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Decentralized systems (93A14) Stochastic systems in control theory (general) (93E03)

Related Items (3)

Image modeling based on a 2-D stochastic subspace system identification algorithm ⋮ Efficient distributed sensing using adaptive censoring-based inference ⋮ Distributed coestimation in heterogeneous sensor networks

Uses Software

• BayesDA

Cites Work

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• Efficient distributed sensing using adaptive censoring-based inference
• A hyperparameter consensus method for agreement under uncertainty
• Belief Consensus and Distributed Hypothesis Testing in Sensor Networks
• Asymptotic Performance of a Censoring Sensor Network
• Graphical Models, Exponential Families, and Variational Inference
• Consensus and Cooperation in Networked Multi-Agent Systems
• Network Identification via Node Knockout
• On Information and Sufficiency
• A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations

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