Academic Journal

A construction of continuous-time ARMA models by iterations of Ornstein-Uhlenbeck processes

Bibliographic Details
Title: A construction of continuous-time ARMA models by iterations of Ornstein-Uhlenbeck processes
Authors: Arratia Quesada, Argimiro Alejandro, Cabaña, Alejandra, Cabaña, Enrique M.
Contributors: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge
Source: Recercat. Dipósit de la Recerca de Catalunya
instname
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
SORT-Statistics and Operations Research Transactions; 2016: Vol.: 40 Núm.: 2 July-December; p. 267-302
oai:raco.cat:article/316146
Repositori Institucional de la Universitat Rovira i Virgili
Universitat Rovira i virgili (URV)
Publisher Information: Institut d'Estadística de Catalunya, 2016.
Publication Year: 2016
Subject Terms: Àrees temàtiques de la UPC::Matemàtiques i estadística, Lévy process, Classificació AMS::62 Statistics::62N Survival analysis and censored data, Matemàtiques i estadística [Àrees temàtiques de la UPC], Processos estocàstics, 62 Statistics::62G Nonparametric inference [Classificació AMS], Lévy, Continuous arma, Ornstein-Uhlenbeck process, Lévy process, Continuous ARMA, stationary process, Stochastic processes, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC], Lévy processes, 60G10, 62M10, 62M99 60M99, Stationary process, Processos de, Classificació AMS::62 Statistics::62G Nonparametric inference, Lévy, Processos de, Ornstein-Uhlenbeck process, 62 Statistics::62N Survival analysis and censored data [Classificació AMS], stationary process, Continuous ARMA
Description: We present a construction of a family of continuous-time ARMA processes based on p iterations of the linear operator that maps a Lévy process onto an Ornstein-Uhlenbeck process. The construction resembles the procedure to build an AR(p) from an AR(1). We show that this family is in fact a subfamily of the well-known CARMA(p,q) processes, with several interesting advantages, including a smaller number of parameters. The resulting processes are linear combinations of Ornstein-Uhlenbeck processes all driven by the same L´evy process. This provides a straightforward computation of covariances, a state-space model representation and methods for estimating parameters. Furthermore, the discrete and equally spaced sampling of the process turns to be an ARMA(p, p-1) process. We propose methods for estimating the parameters of the iterated Ornstein-Uhlenbeck process when the noise is either driven by a Wiener or a more general Lévy process, and show simulations and applications to real data.
Document Type: Article
Other literature type
File Description: application/pdf
DOI: 10.2436/20.8080.02.44
Access URL: http://hdl.handle.net/2117/102108
https://ddd.uab.cat/record/168850
http://hdl.handle.net/20.500.11797/RP2448
https://hdl.handle.net/20.500.11797/RP2448
https://hdl.handle.net/2117/112746
http://hdl.handle.net/2117/112746
https://ddd.uab.cat/record/168850
https://dialnet.unirioja.es/servlet/articulo?codigo=5793820
https://upcommons.upc.edu/bitstream/2117/102108/1/ArratiaSORT2016.pdf
https://ddd.uab.cat/pub/sort/sort_a2016m7-12v40n2/sort_a2016m7-12v40n2p267.pdf
https://upcommons.upc.edu/handle/2117/112746
http://www.raco.cat/index.php/SORT/article/view/316146
Rights: CC BY NC ND
Accession Number: edsair.dedup.wf.002..d4a2dcfe59e9f49a2e2ae6e8f26626e5
Database: OpenAIRE
Description
DOI:10.2436/20.8080.02.44