DocumentCode
2169131
Title
Risk and information in the estimation of hidden Markov models
Author
Ramezani, Vahid R. ; Fu, Michael ; Marcus, Steven I.
Author_Institution
Inst. for Syst. Res., Maryland Univ., USA
Volume
2
fYear
2004
fDate
5-8 Dec. 2004
Firstpage
1596
Abstract
In this paper, we consider the relationship between risk-sensitivity and information. Product estimators are introduced as a generalization of maximum a posteriori probability (MAP) estimator for hidden Markov models. We study the relationship between the inclusion of higher order moments, the underlying dynamics and the availability of information. Asymptotic periodicity of these estimators and the relationship between risk and information is studied via simulation.
Keywords
hidden Markov models; simulation; state estimation; asymptotic periodicity; hidden Markov model; maximum a posteriori probability estimator; product estimators; risk sensitivity; Costs; Educational institutions; Estimation error; Filter bank; Hidden Markov models; Probability distribution; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2004. Proceedings of the 2004 Winter
Print_ISBN
0-7803-8786-4
Type
conf
DOI
10.1109/WSC.2004.1371504
Filename
1371504
Link To Document