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Non parametric distributed inference in sensor networks using box particles messages

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Publication:475443
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DOI10.1007/s11786-014-0200-2zbMath1302.62118OpenAlexW2065867606WikidataQ59394263 ScholiaQ59394263MaRDI QIDQ475443

Imad Mougharbel, Amadou Gning, Hiba Haj Chhadé, Fahed Abdallah, Simon Julier

Publication date: 27 November 2014

Published in: Mathematics in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11786-014-0200-2

zbMATH Keywords

distributed systemsinterval analysiscalibrationBayesian inferencegraphical modelswireless sensor networksbelief propagation


Mathematics Subject Classification ID

Multivariate analysis (62H99) Bayesian inference (62F15) Applications of graph theory (05C90) Interval and finite arithmetic (65G30) Nonparametric inference (62G99)


Related Items

Autonomous crowds tracking with box particle filtering and convolution particle filtering


Uses Software

  • PRMLT


Cites Work

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  • Set inversion via interval analysis for nonlinear bounded-error estimation
  • Distributed localization in wireless sensor networks: A quantitative comparison.
  • Nonlinear bounded-error state estimation of continuous-time systems
  • Factor graphs and the sum-product algorithm
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