1997
DOI: 10.1109/97.623043
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Uniform random parameter generation of stable minimum-phase real ARMA (p,q) processes

Abstract: An algorithm to randomly generate the parameters of stable invertible autoregressive moving average processes of order (p; q)-ARMA (p; q)-is presented. The AR and MA portions are independent of each other, and their respective parameters have jointly uniform distributions with support defined by stability and invertibility considerations. The uniform density insures that each possible model is equally likely. The algorithm uses the Levinson-Durbin recursion to guarantee the poles and zeros are inside the unit … Show more

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Cited by 14 publications
(9 citation statements)
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“…We define the coefficients for the th order autoregressive process, for (where is the highest integer such that and is the indicator function of even integers), and to be the associated probability density on Then, Lemma 1 in [3] ensures that the following algorithm provides sample from…”
Section: The Beadle-djurić Methodsmentioning
confidence: 99%
See 4 more Smart Citations
“…We define the coefficients for the th order autoregressive process, for (where is the highest integer such that and is the indicator function of even integers), and to be the associated probability density on Then, Lemma 1 in [3] ensures that the following algorithm provides sample from…”
Section: The Beadle-djurić Methodsmentioning
confidence: 99%
“…• For Sample where is the Durbin-Levinson recursion which allows us to transform the dimensional vector into the dimensional vector [3]. We use the notation to mean that is distributed according to…”
Section: The Beadle-djurić Methodsmentioning
confidence: 99%
See 3 more Smart Citations