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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