Concept Question: Maximum Likelihood Estimator for the Laplace distribution point possible (graded) MLE As in the previous problem; let m denote the MLE for an unknown parameter m" of a Laplace distrlbution_ MLE Can we apply the theorem for the asymptotlc normality of the MLE to mn (You must choose the correct answer that also has the correct explanation ) No, because the log-likelihood is not concave No, because the log-likelihood is not twice-differentiable_ so the Fisher information does not exist: Yes; because the log-likelihood is concave: Yes, because the other technical conditions required to apply the theorem are satlsfied_ Submit You have used attempts Save
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