01824nam a2200349 a 4500
ocn640488060
20100714094354.1
971208s1991 caua b f000|0 eng d
CMontNP
CMontNP
D 208.14/2:NPS-OR-91-030
Gaver, Donald Paul.
A Kalman filter for a Poisson series with covariates and Laplace approximation integration /
Donald P. Gaver, Patricia A. Jacobs.
Monterey, Calif. :
Naval Postgraduate School ;
Springfield, Va. :
Available from National Technical Information Service,
[1991]
i, 44 p. :
ill. ;
28 cm.
Title from cover.
"NPS-OR-91-030."
"September 1991."
AD A242 960.
Includes bibliographical references (p. 36-37)
A hierarchical model for a Poisson time series is introduced. The model allows the mean or rate of the Poisson variables to vary slowly in time; it is modeled as the exponential of an AR/1 process. In addition the rate is influenced by a covariate. The Laplace method is used to recursively update some model parameter estimates. Frankly heuristic methods are explored to estimate other of the underlying parameters. The methodology is checked against simulated data with encouraging results.
Kalman filtering.
Time series analysis.
Mathematical prediction.
Approximation(Mathematics)
Jacobs, Patricia A.
Naval Postgraduate School (U.S.).
Dept. of Operations Research.
NPS-OR-91-030.
aq/ /aq cc:9116 12/08/97
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