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

Francois Septier, Gareth Peters

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Original languageEnglish
Title of host publicationTheoretical Aspects of Spatial-Temporal Modeling
EditorsG Peters, T Matsui
PublisherSpringer
Pages31-61
DOIs
Publication statusPublished - 25 Dec 2015

Publication series

Name JSS Research Series in Statistics
PublisherSpringer Japan

Cite this

Septier, F., & Peters, G. (2015). An Overview of Recent Advances in Monte-Carlo Methods for Bayesian Filtering in High-Dimensional Spaces. In G. Peters, & T. Matsui (Eds.), Theoretical Aspects of Spatial-Temporal Modeling (pp. 31-61). ( JSS Research Series in Statistics). Springer. https://doi.org/10.1007/978-4-431-55336-6_2