Please use this identifier to cite or link to this item:
|Title:||The ensemble Kalman filter is an ABC algorithm||Authors:||Nott, D.J.
|Keywords:||Approximate Bayesian computation
Ensemble Kalman filter
|Issue Date:||Nov-2012||Citation:||Nott, D.J., Marshall, L., Ngoc, T.M. (2012-11). The ensemble Kalman filter is an ABC algorithm. Statistics and Computing 22 (6) : 1273-1276. ScholarBank@NUS Repository. https://doi.org/10.1007/s11222-011-9300-x||Abstract:||The ensemble Kalman filter is the method of choice for many difficult high-dimensional filtering problems in meteorology, oceanography, hydrology and other fields. In this note we show that a common variant of the ensemble Kalman filter is an approximate Bayesian computation (ABC) algorithm. This is of interest for a number of reasons. First, the ensemble Kalman filter is an example of an ABC algorithm that predates the development of ABC algorithms. Second, the ensemble Kalman filter is used for very high-dimensional problems, whereas ABC methods are normally applied only in very low-dimensional problems. Third, recent state of the art extensions of the ensemble Kalman filter can also be understood within the ABC framework. © 2011 Springer Science+Business Media, LLC.||Source Title:||Statistics and Computing||URI:||http://scholarbank.nus.edu.sg/handle/10635/105416||ISSN:||09603174||DOI:||10.1007/s11222-011-9300-x|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 17, 2022
WEB OF SCIENCETM
checked on Jan 7, 2022
checked on Jan 13, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.