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- W4246200480 abstract "Consider the maximum likelihood estimation of θ based on continuous observation of the process X , which satisfies dX t = θX t dt + dW t . Feigin (1976) showed that, when suitably normalized, the maximum likelihood estimate is asymptotically normally distributed when the true value of θ ≠ 0. The claim that this asymptotic normality also holds for θ = 0 is shown to be false. The parallel discrete-time model is mentioned and the ramifications of these singularities to martingale central limit theory is discussed." @default.
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- W4246200480 date "1979-06-01" @default.
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- W4246200480 title "Some comments concerning a curious singularity" @default.
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- W4246200480 doi "https://doi.org/10.1017/s0021900200046659" @default.
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