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a method of estimating parameters of a statistical model by choosing the parameter value that optimizes the probability of observing the given sample.

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Pattern Recognition and Machine Learning (Bishop) - How is this log-evidence function maximi...

In the book Pattern Recognition and Machine Learning, the author writes the log-evidence function (equation 3.86 in page 167): ln $p(\textbf{t}| \alpha, \beta) = \frac{M}{2}$ ln $\alpha$ + $\frac{N}{ …
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