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

François Septier; Gareth W. Peters

Book sections

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

Document type :

Book sections

Domain :

Engineering Sciences [physics] / Signal and Image processing

Statistics [stat] / Applications [stat.AP]

Statistics [stat] / Computation [stat.CO]

Statistics [stat] / Methodology [stat.ME]

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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 : Saturday, December 18, 2021 - 3:05:23 AM

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

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

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