On the recursive parameter estimation in the general discrete time statistical model
The consistency and asymptotic linearity of recursive maximum likelihood estimator is proved under some regularity and ergodicity assumptions on the logarithmic derivative of a transition density for a general statistical model. © 1998 Elsevier Science B.V.
Year of publication: |
1998
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Authors: |
Sharia, Teo
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Published in: |
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Publisher: |
Elsevier
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Keywords: |
Recursive estimation Conditional density of distribution Martingales Stochastic approximation |
Type of publication: | Article
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Source: | |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10008872695