Matthias Schonlau popularized applying this operation to the improvement to act as an acquisition function in Bayesian optimization. Functions of the data are set equal to this operation applied to different powers of a random variable in a “method” whose “generalized” form was advocated by Lars Peter Hansen. A “conditional” form of this operation applied to the score function squared equals the Fisher information. A method partially developed by Nan Laird alternates applying this operation to the complete (*) data log-likelihood with a maximization step. A standard regression can be expressed as X times beta equals this operation of Y. Applying this operation to the exponential distribution gives one over lambda. For 10 points, what operation computes the average of a random variable and is denoted by a capital E? ■END■
ANSWER: expectation value [or expected value; accept conditional expectation or conditional expected value; accept mean or arithmetic mean; accept expectation-maximization algorithm or EM algorithm; accept expected improvement; accept first moment; prompt on method of moments or generalized method of moments by asking “what operation is used to compute moments?;” accept E of x or E[x] or E(x) or EI until “[capital] E” is read]
<EK, Other Science>
= Average correct buzz position