Sensitivity study of estimation methods of the two-dimensional autoregressive model
Ponencia presentada en el Sexto Congreso de Matemática Aplicada, Computacional e Industrial 2 al 5 de mayo de 2017 – Comodoro Rivadavia, Chubut, Argentina - VI MACI 2017
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Acceso en línea: | http://hdl.handle.net/11086/552308 |
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I10-R141-11086-5523082024-07-12T18:10:42Z Sensitivity study of estimation methods of the two-dimensional autoregressive model Britos, Grisel Maribel Ojeda, Silvia María Robust estimation Autoregressive process Image processing Ponencia presentada en el Sexto Congreso de Matemática Aplicada, Computacional e Industrial 2 al 5 de mayo de 2017 – Comodoro Rivadavia, Chubut, Argentina - VI MACI 2017 Fil: Britos, Grisel Maribel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Ojeda, Silvia María. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. In this paper we present an estimator of the parameters of an AR-2D model that is an extension of an estimator presented for autoregressive models in time series. It uses an auxiliary model (BIP-AR) that limits the propagation of noise in an AR process. In addition, we present an analysis of the behavior of these new estimator (BMM-2D) and others estimators for the case of AR-2D processes contaminated by Gaussian noise. We also show an application to the image processing obtaining favorable results for our estimator. Computational implementation is carried out by R statistical software. Fil: Britos, Grisel Maribel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Ojeda, Silvia María. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Estadística y Probabilidad 2024-06-14T18:42:24Z 2024-06-14T18:42:24Z 2017 conferenceObject http://hdl.handle.net/11086/552308 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Electrónico y/o Digital |
institution |
Universidad Nacional de Córdoba |
institution_str |
I-10 |
repository_str |
R-141 |
collection |
Repositorio Digital Universitario (UNC) |
language |
Inglés |
topic |
Robust estimation Autoregressive process Image processing |
spellingShingle |
Robust estimation Autoregressive process Image processing Britos, Grisel Maribel Ojeda, Silvia María Sensitivity study of estimation methods of the two-dimensional autoregressive model |
topic_facet |
Robust estimation Autoregressive process Image processing |
description |
Ponencia presentada en el Sexto Congreso de Matemática Aplicada, Computacional e Industrial
2 al 5 de mayo de 2017 – Comodoro Rivadavia, Chubut, Argentina - VI MACI 2017 |
format |
conferenceObject |
author |
Britos, Grisel Maribel Ojeda, Silvia María |
author_facet |
Britos, Grisel Maribel Ojeda, Silvia María |
author_sort |
Britos, Grisel Maribel |
title |
Sensitivity study of estimation methods of the two-dimensional autoregressive model |
title_short |
Sensitivity study of estimation methods of the two-dimensional autoregressive model |
title_full |
Sensitivity study of estimation methods of the two-dimensional autoregressive model |
title_fullStr |
Sensitivity study of estimation methods of the two-dimensional autoregressive model |
title_full_unstemmed |
Sensitivity study of estimation methods of the two-dimensional autoregressive model |
title_sort |
sensitivity study of estimation methods of the two-dimensional autoregressive model |
publishDate |
2024 |
url |
http://hdl.handle.net/11086/552308 |
work_keys_str_mv |
AT britosgriselmaribel sensitivitystudyofestimationmethodsofthetwodimensionalautoregressivemodel AT ojedasilviamaria sensitivitystudyofestimationmethodsofthetwodimensionalautoregressivemodel |
_version_ |
1806948463417491456 |