Unformatted text preview: 2 . (a) What is the (non-linear) MMSE estimate of Θ given Y ? (b) What happens to your estimator as σ 2 → ? 2. L-G 6.73 (a) and (b) and compute the mean-squared error for the estimators of parts (a) and (b). 3. L-G 6.75 (b), compute the associated mean-squared error for your estimator in part (b). 4. L-G 7.41: Determine whether the sequences converge surely or almost surely (only consider these two forms of convergence)....
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- Spring '06
- Gate, Estimation theory, σ, mean-squared error, minimum-mean squared-error estimation