DocumentCode
941234
Title
An on-line parameter estimation algorithm for counting process observations (Corresp.)
Author
Spreij, Peter
Volume
32
Issue
2
fYear
1986
fDate
3/1/1986 12:00:00 AM
Firstpage
300
Lastpage
303
Abstract
The parameter estimation problem for counting process observation is considered. It is assumed that the intensity of the counting process is adapted to the family of o-algebras generated by the counting process itself and that the intensity depends linearly on some deterministic constant parameters. An on-line parameter estimation algorithm is then presented for which convergence is proved by using a stochastic approximation type lemma.
Keywords
Parameter estimation; Biology computing; Computational biology; Computer industry; Convergence; Filtering; Intersymbol interference; Mathematical model; Maximum likelihood estimation; Parameter estimation; Stochastic processes;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1986.1057143
Filename
1057143
Link To Document