Question: Suppose that a random variable x is assumed to be normally distributed with (unknown) mean m and variance 2 so that its probability density function
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The probability (likelihood) of a sequence of independent observations (x1, x2, . . . , xT) for given parameters m and σ2 is given by their joint Distribution
f(x) -exp (-- 2 ! !
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