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Let h 1(x 1)=E P {h(x 1,X 2,…,X m )} be the conditional expectation of h given X 1=x 1, and ζ 1=V a r P {h 1(X 1)}.
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The solution is the conditional expectation H X) = E Y|X).
Any in the paper is the conditional expectation in (B.2).
The mean, exclusive of early arrivals, is the conditional expectation given that we have a delay.
where E x k,m, h w, g w is the conditional expectation of x k,m, hw, and gw.
The LSM method contributes by approximating the continuation value that is the conditional expectation of time (t) (if exercise is still allowed) of future optimal payoffs from the contingent claim.
which is the conditional expectation of GP for given C S I and represents the optimal performance metric in terms of GPavg when only imperfect CSI is available at the transmitter.
Under the MSE loss function, the optimal predictor of (boldsymbol{y}_{0}) is the conditional expectation (text{E}(boldsymbol{y}_{0}|boldsymbol{X}_{0})=boldsymbol{X}_{0}boldsymbol{beta}), which relates naturally to the plug-in estimators of β. [6] proposed the simple projection predictor (SPP) of (boldsymbol{X}_{0}boldsymbol{beta}) by plugging in the best linear unbiased estimator (BLUE) of β.
E[F Y |i,F X ] is the conditional expectation of F Y given F X in the i th Gaussian component and is given as, E F Y | i, F X = μ Y, i + C Y X, i C X X, i − 1 F X − μ X, i (19).
The estimate of the unknown true signal S is the conditional expectation E(S|X = x).
In particular, c k = P11 − P22 is the conditional expectation of the number of Duroc alleles carried by the k th animal.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com