Continuous Elliptical and Exponential Power Linear Dynamic Models
This paper shows a generalization of the linear dynamic model, which is practical and easy to compute. The generalization is made by assuming a continuous elliptical joint distribution for the parameters and errors. Updated distribution and probabilistic characteristics of the current and future vector of state and observations are given. As a particular simple submodel, the one with a multidimensional exponential power initial distribution is developed. An example showing its use is given.
Year of publication: |
2002
|
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Authors: | Gómez, E. ; Gómez-Villegas, M. A. ; Marín, J. M. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 83.2002, 1, p. 22-36
|
Publisher: |
Elsevier |
Keywords: | continuous elliptical distribution multidimensional exponential power distribution global vector vector of state prior distribution updated distribution |
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