Maximum likelihood estimation of a nonpa
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G.N. Milstein; M. Nussbaum
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Article
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2001
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Elsevier Science
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English
โ 115 KB
We study extremal problems related to nonparametric maximum likelihood estimation (MLE) of a signal in white noise. The aim is to reduce these to standard problems of optimal control which can be solved by iterative procedures. This reduction requires a preliminary data smoothing; stability theorems