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Maximum likelihood and Bayesian Parameter Estimation

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Maximum likelihood and Bayesian Parameter Estimation

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    1. Maximum likelihood and Bayesian Parameter Estimation

    2. Overview Bayes’ formula: Bayes’ decision rule: Decide w1 if P(w1|x)>P(W2|x); otherwise decide w2

    3. Overview Parameter estimation ---Maximum likelihood estimation ---Bayesian estimation The parameters in MLE are fixed but unknown; in BE the parameters are random variables having some known prior distribution.

    4. Overview Maximum likelihood estimation

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