DocumentCode :
910578
Title :
Recursive computations for the optimal tracking of time-varying parameters (Corresp.)
Author :
Hilborn, C. ; Lainiotis, D.
Volume :
14
Issue :
3
fYear :
1968
fDate :
5/1/1968 12:00:00 AM
Firstpage :
514
Lastpage :
515
Abstract :
Recursive relations are given for updating the conditional density p(\\theta_{k} | X_{k-1}, \\cdots X_{1}) (also for p(\\theta_{k} | X_{k}, \\cdots , X_{1}) ), where \\theta_{k} is a parameter of the density of X_{k} . The observations X_{1}, X_{2}, \\cdots are assumed to be conditionally independent (i.e., for known parameters), and the sequence of time-varying parameters \\theta_{1}, \\theta_{2}, \\cdots constitutes a Markov-M sequence. The result requires the storage of an intermediate function of (\\theta_{k-1}, \\cdots , \\theta_{k-M}) .
Keywords :
Bayes procedures; Markov processes; Pattern classification; Probability functions; Tracking; Bismuth; Equations; Statistics;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1968.1054154
Filename :
1054154
Link To Document :
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