Question

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 (-5[1])by Nan Laird alternates applying this operation to the complete (*) data log-likelihood with a maximization step. A standard regression (10[1])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, (-5[1])what operation computes the average of a random variable and is denoted by a capital E? (10[1])■END■ (10[6])

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

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Buzzes

PlayerTeamOpponentBuzz PositionValue
Nathaniel MartinBrandeis BBowdoin A67-5
Ragylan SivakumarMITClark Wilson8610
Joseph XuBowdoin BBoston College B112-5
Richard LinAmherstClark House12810
Shining SunBoston College BBowdoin B12910
Peter ScullyTufts BBoston College A12910
Madeline StrausTufts AHarvard12910
Graham LucasBowdoin ABrandeis B12910
Andres CordobaYaleBowdoin C12910
Karan ShomeBUBrandeis A12910