Autoregressive series with random parameters
Author:
Ji
And
l a

And
l a
| Affiliation: | a Department of Statistics, Charles University, Sokolovsk , Czechoslovakia |
DOI:
10.1080/02331887608801334
Publication Frequency:
6 issues per year
Subjects:
Mathematical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
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Abstract
In the paper an authoregressive model is introduced and investigated, the parameters of which are random variables. The necessary and sufficient conditions for stationarity are derived. It is shown that the covariance function of a stationary autorgressive series with random parameters satisifies the same Yule-Walker equations as in the usual autoregressive model with fixed parameters. The inverse variance matrix in stationary case is also given.
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