High-dimensional ARMA model identification and its application to healthcare picture smoothing using a forgetting factor
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]
|Collections||ANU Research Publications|
|Source:||Applied Mathematical Sciences|
|01_Penm_High-dimensional_ARMA_model_2010.pdf||156.45 kB||Adobe PDF||Request a copy|
|02_Penm_High-dimensional_ARMA_model_2010.pdf||67.66 kB||Adobe PDF||Request a copy|
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