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An Overview of Recent Advances in Monte-Carlo Methods for Bayesian Filtering in High-Dimensional Spaces

François Septier 1, 2 Gareth W. Peters 3 
1 Institut TELECOM/TELECOM Lille1
2 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
3 Department of Statistical Science, University College of London
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https://hal-imt.archives-ouvertes.fr/hal-01198429
Contributor : François Septier Connect in order to contact the contributor
Submitted on : Saturday, September 12, 2015 - 4:23:07 PM
Last modification on : Monday, June 27, 2022 - 3:05:15 AM

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  • HAL Id : hal-01198429, version 1

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INSTITUT-TELECOM | CNRS | CRISTAL | CRISTAL-SIGMA | UNIV-LILLE | IMT-NORD-EUROPE

Citation

François Septier, Gareth W. Peters. An Overview of Recent Advances in Monte-Carlo Methods for Bayesian Filtering in High-Dimensional Spaces. Peters, Gareth W.; Matsui, Tomoko. Theoretical Aspects of Spatial-Temporal Modeling, SpringerBriefs - JSS Research Series in Statistics, 2015, 9784431553359. ⟨hal-01198429⟩

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