Kalman filter

Multilevel ensemble Kalman filtering

Thu, Jan 1 - Mon, Jun 1 2015

Filtering is a method for sequentially estimating the state of an evolving dynamical system in settings where only partial and possibly inaccurate measurements of the history of the state are available.

Manuscript accepted by Journal of Computational Physics

1 min read · Mon, Sep 5 2022

Monte Carlo multilevel Multi-index Kalman filter

The manuscript entitled " Multi-index ensemble Kalman filtering" by Håkon A. Hoel, Gaukhar Shaimerdenova, and Raul Tempone has been accepted by the Journal of Computational Physics (JCP). The JCP is a bimonthly scientific journal covering original scientific contributions in advanced mathematical and numerical modeling reflecting a combination of concepts, methods, and principles of physics, mechanics, applied mathematics, statistics, applied geometry, computer science, chemistry, and other scientific disciplines as well. It was established in 1966 and is published by Elsevier. According to