Stochastic Systems
Christiaan Heij (),
André C.M. Ran () and
Frederik van Schagen ()
Additional contact information
Christiaan Heij: Erasmus University Rotterdam, Department of Econometrics
André C.M. Ran: Vrije Universiteit, Department of Mathematics
Frederik van Schagen: Vrije Universiteit, Department of Mathematics
Chapter 6 in Introduction to Mathematical Systems Theory, 2021, pp 81-99 from Springer
Abstract:
Abstract In stochastic systems, the outputs are (partly) driven by unobserved random inputs. This chapter is concerned with stationary processes and their approximation with finite dimensional linear stochastic systems. Similar to the results for deterministic input-output systems there is an equivalence between finite dimensional stochastic state space models, polynomial (ARMA) representations, and rational spectra (in the frequency domain), which are the analogue of the transfer function.
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-59654-5_6
Ordering information: This item can be ordered from
http://www.springer.com/9783030596545
DOI: 10.1007/978-3-030-59654-5_6
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().