(posterior mean) = lambda*(prior mean) + (1-lambda)*(max likelihood estimate

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Where does this equation come from?? Does anybody know the wikipedia link (or similar) that explains it?

(posterior_mean) = lambda * (prior_mean) + (1-lambda) * (max_likelihood_estimate)

Where:

$$0 \lt lambda < 1$$

and max likelihood estimate is just the mean:

$$\mu_{ML} = \frac{\#success}{\#total}$$

Also, What is Lambda?