Training data from gaussian distribution of variance

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Q1) Suppose we have training data from a Gaussian distribution of known covariance S but unknown mean Mu. Suppose further that this mean itself is random, and characterized by a Gaussian density having mean Mu0 and covariance S0. What is the MAP (maximum a posteriori) estimator for Mu?

Reference no: EM1344876

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