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Suppose you are optimizing the parameters of a data model using the MAP approach. Consider the case where the data likelihood is Gaussian-distributed and the
Suppose you are optimizing the parameters of a data model using the MAP approach. Consider the case where the data likelihood is Gaussian-distributed and the the prior probability on the parameters is also Gaussian-distributed. Write down the pseudo-code (in written English) to perform online prior update. Be specific Be sure to describe which parameters are used to model the posterior probability. Be sure to discuss initialization and any required parameters that must be set. Suppose you are optimizing the parameters of a data model using the MAP approach. Consider the case where the data likelihood is Gaussian-distributed and the the prior probability on the parameters is also Gaussian-distributed. Write down the pseudo-code (in written English) to perform online prior update. Be specific Be sure to describe which parameters are used to model the posterior probability. Be sure to discuss initialization and any required parameters that must be set
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