Title :
An on-line parameter estimation algorithm for counting process observations (Corresp.)
fDate :
3/1/1986 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1986.1057143