Estimation and prediction with ARMMAX model: a mixture of ARMAX models with common ARX part.
Result description
The paper concerns Bayesian estimation and prediction in the presence of colored noise. It introduces a novel model called ARMMAX, a finite mixture with its ARMAX components having a common ARX part. A modified recursive Quasi-Bayes algorithm is proposedfor its estimation, based on a classical solution that allows the MA part to be even at the stability boundary. An off-line use of the mixture offers the possibility to estimate C-parameters of an ARMAX model in a novel way.
Keywords
The result's identifiers
Result code in IS VaVaI
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Estimation and prediction with ARMMAX model: a mixture of ARMAX models with common ARX part.
Original language description
The paper concerns Bayesian estimation and prediction in the presence of colored noise. It introduces a novel model called ARMMAX, a finite mixture with its ARMAX components having a common ARX part. A modified recursive Quasi-Bayes algorithm is proposedfor its estimation, based on a classical solution that allows the MA part to be even at the stability boundary. An off-line use of the mixture offers the possibility to estimate C-parameters of an ARMAX model in a novel way.
Czech name
—
Czech description
—
Classification
Type
Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
—
Result continuities
Project
IBS1075102: Output Error Model Identification and its Utilisation in Controller Design
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Adaptive Control and Signal Processing
ISSN
0890-6327
e-ISSN
—
Volume of the periodical
17
Issue of the periodical within the volume
4
Country of publishing house
GB - UNITED KINGDOM
Number of pages
19
Pages from-to
265-283
UT code for WoS article
—
EID of the result in the Scopus database
—
Basic information
Result type
Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP
BD - Information theory
Year of implementation
2003