is called the maximum-likelihood estimator (ML estimator).
Under the usual implicit assumption that all functions are sufficiently smooth,
is a necessary condition.
The first example will be to find the ML estimator for the expectation value of a d-dimensional normal distribution. Let mk ∼ N(μ, Σ) with μ unknown but known Σ. It follows that