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EM Algorithm for Empirical Bayes Estimation for Panel AR(1) Processes

Authors
김영원
Issue Date
Jul-1992
Publisher
숙명여자대학교 자연과학연구소
Citation
숙명여자대학교 자연과학논문집, v.0, no.3, pp 55 - 61
Pages
7
Journal Title
숙명여자대학교 자연과학논문집
Volume
0
Number
3
Start Page
55
End Page
61
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/151108
Abstract
The EM algorithm, following the general strategy of Dempster et al.(1977), is presented to obtain the maximum likelihood estimates of the hyperparameters in a panel AR(1) model when a random autoregressive coefficient has a normal prior distribution. The EM algorithm is applied to suggest a parametric empirical Bayes procedure for the model with unknown variances.
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