Title :
Distributed Bayesian parameter estimation
Author :
Hoballah, I.Y. ; Varshney, P.K.
Author_Institution :
Syracuse University, Syracuse, New York
Abstract :
This paper considers the problem of distributed Bayesian parameter estimation. Three commonly used cost criteria namely mean square error, absolute error and uniform cost are employed. Optimum estimation rules at the individual sensors and optimum combining rule are obtained. Suboptimum solutions when the combining rule is restricted to be a linear one are also derived. A simple example is presented for illustration.
Keywords :
Bayesian methods; Costs; Density functional theory; Estimation theory; Mean square error methods; Parameter estimation; Signal processing; State estimation; Vectors; Yield estimation;
Conference_Titel :
Decision and Control, 1987. 26th IEEE Conference on
Conference_Location :
Los Angeles, California, USA
DOI :
10.1109/CDC.1987.272937