DocumentCode
2450342
Title
Optimal bayes joint decision and estimation
Author
Li, X. Rong
Author_Institution
Univ. of New Orleans, New Orleans
fYear
2007
fDate
9-12 July 2007
Firstpage
1
Lastpage
8
Abstract
Many problems involve joint decision and estimation, where qualities of decision and estimation affect each other. This paper proposes an integrated approach based on a new Bayes risk, which is a generalization of those for decision and estimation separately. Theoretical results of the optimal joint decision and estimation that minimizes the new Bayes risk are presented. The power of the new approach is illustrated by applications in target tracking and classification.
Keywords
Bayes methods; estimation theory; target tracking; Bayes joint decision; Bayes risk; target tracking; Decision theory; Estimation theory; Filtering; Parameter estimation; Radar tracking; State estimation; Target recognition; Target tracking; Testing; Uncertainty; Bayes approach; Estimation; decision; statistical inference; target classification.; target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2007 10th International Conference on
Conference_Location
Quebec, Que.
Print_ISBN
978-0-662-45804-3
Electronic_ISBN
978-0-662-45804-3
Type
conf
DOI
10.1109/ICIF.2007.4408084
Filename
4408084
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