Skip navigation
Skip navigation

High-dimensional ARMA model identification and its application to healthcare picture smoothing using a forgetting factor

Penm, Jack HW


In this paper a set of formulations of an N-dimensional (ND) autoregressive-moving average (ARMA) model identification method, and a two-dimensional (2D) forgetting factor approach in time-series modelling, is developed. An optimum estimation and prediction approach in healthcare picture smoothing based on a 2D ARMA modelling, has been implemented; and satisfactory results have been obtained. Our approach indicates the desirability of accurate statistical modelling of high-dimensional or...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
Source: Applied Mathematical Sciences


File Description SizeFormat Image
01_Penm_High-dimensional_ARMA_model_2010.pdf156.45 kBAdobe PDF    Request a copy
02_Penm_High-dimensional_ARMA_model_2010.pdf67.66 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  22 January 2019/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator