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Variance estimation for multivariate dynamic linear models

✍ Scribed by Emanuel Barbosa; Jeff Harrison

Publisher
John Wiley and Sons
Year
1992
Tongue
English
Weight
383 KB
Volume
11
Category
Article
ISSN
0277-6693

No coin nor oath required. For personal study only.

✦ Synopsis

The problem of estimating unknown observational variances in multivariate dynamic linear models is considered. Conjugate procedures are possible for univariate models and also for special very restrictive common components models but they are not generally applicable. However, for clarity of operation and in order to avoid numerical integration, it is desirable to have conjugacy or approximate conjugacy. Such an approximate procedure is proposed based upon a simple analytic approximation. It is exact for the sub-class of conjugate models and improves on a previous procedure based upon the Robust filter.

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