ASYMPTOTIC BEHAVIOR OF THE BAYES ESTIMATES OF A SIGNAL PARAMETER IN THE PRESENCE OF NONSTATIONARY NORMAL NOISE.

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作者
Trifonov, A.P.
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中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
It is shown that for large classes of a priori distributions and loss functions the Bayes estimate reduces to the conditional maximum-likelihood estimate for an unbounded increase of the signal-to-noise ratio. An approximate calculation is carried out for the error of approximation of the Bayes estimate by its limiting value for large but finite signal-to-noise ratios.
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页码:305 / 312
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