Fundamentals of Stochastic Filtering
The objective of stochastic filtering is to determine the best estimate for the state of a stochastic dynamical system from partial observations. The solution of this problem in the linear case is the well known Kalman-Bucy filter which has found widespread practical application. The purpose of this...
Main Authors: | Bain, Alan. (Author), Crisan, Dan. (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic |
Language: | English |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2009.
|
Series: | Stochastic Modelling and Applied Probability,
60 |
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-76896-0 |
Similar Items
-
Understanding systems a grand challenge for 21st century engineering /
by: Ghaboussi, J.
Published: (2018) -
Priciples of corporate finance /
by: Brealey, Richard A.,, et al.
Published: (2020) -
Power systems analysis /
by: Murty, P. S. R.,
Published: (2017) -
Multinational business finance /
by: Eiteman, David K.,, et al.
Published: (2019) -
Error analysis : perspectives on second language acquisition /
Published: (2014)