Question 1.11 - On Gaussian Distribution and it's Log Likelihood (Pattern Recognition and ML by Christopher Bishop)

Pre-read:

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From (1.46) and (1.53), the log likelihood function can be written in the form:



Question:

By setting the derivatives of the log likelihood function (1.54) with respect to µ and σ^2 equal to zero, verify the results (1.55) and (1.56).

Link to Solution