Sentence examples for using the conditional mean from inspiring English sources

Given Eq. (2), the estimated level of energy efficiency EF jt is estimated using the conditional mean of the efficiency term E u jt |v jt  + u jt ) proposed by Jondrow et al. [33].

Under such a model, the unobservable genotypic values can be predicted using the conditional mean of the genotypic values given the data.

Similar to BLIMP (Wen and Stephens, 2010), DIST uses the conditional mean formula for multivariate normal variates.

To estimate the statistical significance of an observed number of shared genes, we therefore predicted the mean overlap using a regression model and used the conditional mean estimate to calculate a P-value assuming a Poisson law.

CAI and ICI, if they exist, are estimated iteratively using the conditional symbol mean estimates obtained from the decoder feedback information from the previous iteration.

Using residual updating, the conditional mean of the allele substitution effect (a ^ j l + 1 ) in iteration l + 1 can then be obtained per locus as follows [ 14]: (4) a ^ j l + 1 = x j ' e j l + 1 + x j ' x j a ^ j l x j ' x j + λ j.

By using the classical conditional mean formula (Lee et al., 2013), Z u can be imputed as Z u = ∑ u, m (∑ m, m ) − 1 Z m.

For a finite locus model, Markov chain Monte Carlo (MCMC) methods can be used to estimate the conditional mean of genotypic values given phenotypes, which is also known as the best predictor (BP).

To use the conditional tense means to use would or could.

For instance, the classical Euler-Maruyama method, the Ozaki discretization which proposes a linear approximation of the drift coefficient between two observations [29, 32], or Gaussian-based approximations using Taylor expansions of the conditional mean and variance of an observation given the observation at the previous time step, [20, 21, 33].

Traditional mean regression are concerned with estimating the conditional mean by using the L2-loss function.