Bayesian point estimation II

nWe
do not know the true **q**

nDensity
p* *represents our optimal beliefs over **q**

nChoose **q*** *that
minimizes the expected loss:

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nCall **q*** *the Bayesian point estimate

nWe will use KL
divergence as our
loss

n**q***
*=E(**q**)

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